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DaTaobao Tech
DaTaobao Tech
Sep 12, 2025 · Artificial Intelligence

How Multi‑Agent AI Transforms Financial Loss Prevention in E‑Commerce

This article explains how a multi‑agent AI system shifts asset‑loss control from reactive to proactive by building a full‑link protection framework that extracts knowledge, identifies risks, automatically deploys safeguards, and continuously learns from incidents, delivering faster, more accurate financial security for e‑commerce platforms.

AIKnowledge Graphe‑commerce
0 likes · 19 min read
How Multi‑Agent AI Transforms Financial Loss Prevention in E‑Commerce
Architecture & Thinking
Architecture & Thinking
Sep 12, 2025 · Artificial Intelligence

How Knowledge Graphs Turn Large Language Models into Trustworthy Experts

Integrating structured knowledge graphs with generative AI provides traceable, explainable, and high‑precision reasoning across domains such as medicine, finance, and law, through techniques like Retrieval‑Augmented Generation, graph neural networks, and adaptive planning, dramatically reducing hallucinations and boosting expert‑level performance.

AI HallucinationGraph Neural NetworkKnowledge Graph
0 likes · 12 min read
How Knowledge Graphs Turn Large Language Models into Trustworthy Experts
Model Perspective
Model Perspective
Sep 8, 2025 · Artificial Intelligence

How to Build a Dynamically Updating Knowledge Graph for Mathematical Modeling

This article explains how to construct and continuously update a knowledge graph from mathematical modeling solutions, detailing extraction of entities, relations, attributes, and strategies, and showing how dynamic graphs enable intelligent recommendation, research support, and teaching assistance.

Dynamic UpdateKnowledge GraphNLP
0 likes · 9 min read
How to Build a Dynamically Updating Knowledge Graph for Mathematical Modeling
DataFunTalk
DataFunTalk
Aug 26, 2025 · Artificial Intelligence

Exploring Cutting-Edge AI & Knowledge Graph Applications: A Curated Resource Guide

This resource guide presents a curated list of cutting‑edge topics—including multimodal GraphRAG, knowledge‑graph‑driven large‑model applications in finance, traditional Chinese medicine, automotive manufacturing, and knowledge‑management trends—offering insights into AI‑powered knowledge services, and invites readers to scan the QR code to download the full e‑book.

AIKnowledge GraphLarge Language Model
0 likes · 2 min read
Exploring Cutting-Edge AI & Knowledge Graph Applications: A Curated Resource Guide
360 Tech Engineering
360 Tech Engineering
Aug 12, 2025 · Artificial Intelligence

How Knowledge Graphs Are Reinventing AI Security: Insights from ISC.AI 2025

At the 13th ISC.AI 2025 Knowledge Graphs Reshaping Intelligent Security Summit in Beijing, leading experts from academia and industry highlighted how knowledge graphs enhance AI model accuracy, explainability, and trust, offering comprehensive data integration and risk monitoring to fortify intelligent systems across sectors.

Knowledge Graphdata integrationrisk monitoring
0 likes · 6 min read
How Knowledge Graphs Are Reinventing AI Security: Insights from ISC.AI 2025
Amap Tech
Amap Tech
Aug 7, 2025 · Artificial Intelligence

Boosting Codebase Upgrades with Code RAG and Agent‑Driven Fine‑Tuning

This article describes how the Gaode terminal team tackled large‑scale repository upgrades by building a code‑RAG and code‑Agent tool, addressing recall and stability issues, then fine‑tuning a small LLM (Qwen3‑4B) with LoRA and custom datasets to achieve reliable, low‑cost, on‑device code‑query performance.

Code AgentKnowledge GraphLLM
0 likes · 11 min read
Boosting Codebase Upgrades with Code RAG and Agent‑Driven Fine‑Tuning
Model Perspective
Model Perspective
Aug 4, 2025 · Databases

How to Build a Comprehensive Mathematical Modeling Knowledge Graph

This article explains why a mathematical modeling knowledge graph is needed, outlines its multi‑layer structure, and provides step‑by‑step guidance—from defining scope and collecting concepts to modeling nodes and relationships and visualizing the graph with Neo4j—highlighting its educational and research benefits.

AIGraph DatabaseKnowledge Graph
0 likes · 8 min read
How to Build a Comprehensive Mathematical Modeling Knowledge Graph
Model Perspective
Model Perspective
Aug 1, 2025 · Artificial Intelligence

Why Tree Structures Limit Math Knowledge Graphs and How Network Thinking Helps

The article examines the shortcomings of using hierarchical tree models for K‑12 math knowledge graphs and proposes a network‑based graph approach that better captures cross‑topic relationships, supports flexible learning paths, and combines the strengths of both structures for richer educational design.

Curriculum DesignEducational TechnologyKnowledge Graph
0 likes · 8 min read
Why Tree Structures Limit Math Knowledge Graphs and How Network Thinking Helps
AI Large Model Application Practice
AI Large Model Application Practice
Jul 29, 2025 · Artificial Intelligence

8 Memory Strategies for AI Agents: From Full Recall to Vector Stores

The article examines eight common AI memory techniques—from simple full‑history retention to sophisticated vector‑store and knowledge‑graph approaches—detailing their principles, Python‑style implementations, advantages, drawbacks, and ideal application scenarios for large‑language‑model agents in production environments.

AI memoryKnowledge GraphLLM context management
0 likes · 23 min read
8 Memory Strategies for AI Agents: From Full Recall to Vector Stores
Model Perspective
Model Perspective
Jul 25, 2025 · Databases

How to Model and Deploy Knowledge Graphs with Neo4j and Python

This article explains the fundamentals of knowledge graph representation, including entities, concepts, relationships, and triple structures, and provides step‑by‑step instructions for installing Neo4j, configuring Python with py2neo, and importing CSV‑based triples into a graph database for querying and reasoning.

Graph DatabaseKnowledge GraphNeo4j
0 likes · 12 min read
How to Model and Deploy Knowledge Graphs with Neo4j and Python
DataFunTalk
DataFunTalk
Jul 21, 2025 · Artificial Intelligence

Top AI & Knowledge Graph Resources: A Curated Guide to Emerging Research

This article presents a curated list of cutting‑edge resources covering multimodal GraphRAG, knowledge‑graph‑driven large‑model applications in finance, healthcare, automotive, and more, offering insights into the evolving synergy between AI and knowledge graphs.

AIKnowledge Graphlarge model
0 likes · 2 min read
Top AI & Knowledge Graph Resources: A Curated Guide to Emerging Research
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Jul 12, 2025 · Artificial Intelligence

Why GraphRAG Is the Future of Retrieval‑Augmented Generation

This article explains how GraphRAG combines knowledge graphs with retrieval‑augmented generation to overcome the limitations of vector‑only RAG, delivering higher accuracy, better explainability, easier development, and stronger governance for generative AI applications across various domains.

AIGraphRAGKnowledge Graph
0 likes · 23 min read
Why GraphRAG Is the Future of Retrieval‑Augmented Generation
DataFunSummit
DataFunSummit
Jul 8, 2025 · Artificial Intelligence

Explore Cutting-Edge AI Knowledge Graphs: From Multimodal GraphRAG to Industry Applications

This article presents a curated catalog of cutting‑edge AI resources, covering multimodal GraphRAG, knowledge‑graph and large‑model integration, financial industry AI products, Chinese‑medicine decision support, AI‑driven knowledge‑graph evolution, private‑domain Q&A pipelines, and emerging trends and standards, with a QR code for the full ebook.

Artificial IntelligenceDocument IntelligenceKnowledge Graph
0 likes · 2 min read
Explore Cutting-Edge AI Knowledge Graphs: From Multimodal GraphRAG to Industry Applications
DataFunSummit
DataFunSummit
Jul 6, 2025 · Artificial Intelligence

AI-Driven Knowledge Graphs: Key Insights from Multimodal GraphRAG Research

This article presents a comprehensive overview of cutting‑edge research on integrating large language models with knowledge graphs, covering multimodal GraphRAG, financial AI solutions, traditional Chinese medicine decision support, and industry‑specific knowledge services, guiding readers through emerging paradigms and practical implementations.

AIEnterprise AIKnowledge Graph
0 likes · 2 min read
AI-Driven Knowledge Graphs: Key Insights from Multimodal GraphRAG Research
AI Algorithm Path
AI Algorithm Path
Jul 3, 2025 · Artificial Intelligence

Exploring Advanced, Graph, and Agentic RAG: The Evolution of Retrieval‑Augmented Generation

This article examines how Retrieval‑Augmented Generation (RAG) has progressed from simple keyword‑based retrieval to advanced semantic methods, modular architectures, graph‑enhanced reasoning, and autonomous agentic systems, highlighting each approach's workflow, benefits, limitations, and the shift toward dynamic AI decision‑making.

AIAgentic RAGGraph RAG
0 likes · 7 min read
Exploring Advanced, Graph, and Agentic RAG: The Evolution of Retrieval‑Augmented Generation
Fun with Large Models
Fun with Large Models
Jun 23, 2025 · Artificial Intelligence

Boost RAG Answer Accuracy: Detailed Step‑by‑Step GraphRAG Knowledge‑Graph Construction

This article walks through the complete GraphRAG knowledge‑graph building pipeline—text splitting, entity extraction, relation mining, community clustering, and report generation—using a concrete example from the book “The Age of Big Data,” and explains why each step improves retrieval and answer quality.

GraphRAGKnowledge GraphRAG
0 likes · 20 min read
Boost RAG Answer Accuracy: Detailed Step‑by‑Step GraphRAG Knowledge‑Graph Construction
Fun with Large Models
Fun with Large Models
Jun 19, 2025 · Artificial Intelligence

How GraphRAG Boosts Answer Accuracy with Knowledge Graphs (Part 1)

This article explains GraphRAG’s architecture, compares it with traditional RAG, and presents experimental results showing that GraphRAG’s knowledge‑graph‑driven retrieval markedly improves answer accuracy, especially on low‑match, multi‑paragraph queries.

GraphRAGKnowledge GraphPerformance Evaluation
0 likes · 11 min read
How GraphRAG Boosts Answer Accuracy with Knowledge Graphs (Part 1)
Amap Tech
Amap Tech
Jun 17, 2025 · Artificial Intelligence

Building an AI-Powered Testing Ecosystem: From Core Principles to Automation

This article explores how a testing team can abstract core testing capabilities, construct a unified testing ecosystem, and integrate AI at strategic points—from data aggregation and automated analysis to knowledge‑base driven requirement enhancement and fully automated test case generation—ultimately turning quality assurance into a collaborative human‑AI partnership.

AIKnowledge Graphautomation
0 likes · 37 min read
Building an AI-Powered Testing Ecosystem: From Core Principles to Automation
DevOps
DevOps
Jun 16, 2025 · Artificial Intelligence

Unlock AI’s Real‑World Power: 6 Must‑Have MCP Tools with Hands‑On Code

This article reviews six open‑source MCP servers—Bright Data, Graphiti, GitIngest, Terminal, Code Executor, and MindsDB—showing how each extends large language models with web scraping, long‑term memory, code navigation, command‑line control, sandboxed Python execution, and multi‑source data integration, complete with practical code examples.

AI toolsCode ExecutionKnowledge Graph
0 likes · 9 min read
Unlock AI’s Real‑World Power: 6 Must‑Have MCP Tools with Hands‑On Code
Sohu Tech Products
Sohu Tech Products
Jun 11, 2025 · Artificial Intelligence

How DeepSeek and TiDB AI Are Redefining Data Engines for the Large‑Model Era

This article explores DeepSeek's open‑source large‑model breakthroughs, PingCAP's AI‑enhanced database roadmap, TiDB.AI's retrieval‑augmented generation framework, the unified TiDB data engine, and practical Q&A insights on knowledge‑graph construction, vector search, and AI‑driven SQL generation.

AIDatabaseDeepSeek
0 likes · 15 min read
How DeepSeek and TiDB AI Are Redefining Data Engines for the Large‑Model Era
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jun 7, 2025 · Artificial Intelligence

How AI Reasoning and Agents Are Transforming Industry: The Rise of the “Industrial Brain”

The article explains how large AI models are evolving from simple chatbots into reasoning-powered agents integrated with massive domain knowledge, creating powerful “industrial brains” that can understand and solve complex real‑world problems, reshaping the future of IT and the internet industry.

AIKnowledge Graphagents
0 likes · 6 min read
How AI Reasoning and Agents Are Transforming Industry: The Rise of the “Industrial Brain”
DataFunSummit
DataFunSummit
Jun 2, 2025 · Artificial Intelligence

Enterprise Knowledge Brain Powered by Large Models and Knowledge Graphs

This article explains how the rapid development of large language models and knowledge graph technologies creates new opportunities for enterprise knowledge management, outlines the challenges of massive unstructured data, describes the architecture and core data flow of a corporate knowledge brain, and showcases key technologies and real‑world applications.

AI ArchitectureEnterprise AIKnowledge Graph
0 likes · 13 min read
Enterprise Knowledge Brain Powered by Large Models and Knowledge Graphs
phodal
phodal
May 28, 2025 · Artificial Intelligence

Boost Code Retrieval with AutoDev’s Pre‑Generated Context Worker

The article explains how AutoDev’s Context Worker pre‑generates semantic code context to improve RAG performance, outlines the limitations of vector‑based retrieval, describes the tool’s multi‑language AST analysis, knowledge‑graph construction, and provides command‑line usage examples for integrating the generated context into AI‑driven development workflows.

AIASTCLI
0 likes · 8 min read
Boost Code Retrieval with AutoDev’s Pre‑Generated Context Worker
Fighter's World
Fighter's World
May 24, 2025 · Artificial Intelligence

Why Glean Leads Enterprise Search: What Makes It So Powerful?

The article examines Glean’s evolution from an enterprise‑search startup to a comprehensive Work AI Platform, detailing its market growth, competitive positioning, technical architecture—including data connectors, knowledge graphs, custom models, and agent reasoning—and the strategic challenges it must overcome to sustain its lead.

AI PlatformContextual AIKnowledge Graph
0 likes · 30 min read
Why Glean Leads Enterprise Search: What Makes It So Powerful?
AntTech
AntTech
May 6, 2025 · Information Security

Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions

This article presents a comprehensive overview of the security challenges in HarmonyOS native ArkTS applications and describes the design and implementation of a specialized static analysis framework—including source extraction, data‑flow and inter‑function analysis, knowledge‑graph construction, and risk inference engine—while also outlining integration into development pipelines and future research directions.

Knowledge GraphRisk DetectionarkTS
0 likes · 17 min read
Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions
DataFunSummit
DataFunSummit
Apr 21, 2025 · Artificial Intelligence

Deep Integration of Knowledge Graphs and Large Language Models: Methods, Applications, and Future Directions

This article explores how knowledge graphs can be tightly integrated with large language models through prompt engineering, fine‑tuning, retrieval‑augmented generation, reasoning collaboration, and knowledge agents, outlining technical pathways, practical implementations, and future research directions across AI domains.

AIKnowledge GraphRetrieval-Augmented Generation
0 likes · 23 min read
Deep Integration of Knowledge Graphs and Large Language Models: Methods, Applications, and Future Directions
DevOps
DevOps
Apr 20, 2025 · Artificial Intelligence

Building a Medical Knowledge Base with RAG: A Step‑by‑Step Example

This article demonstrates how to construct an AI‑powered medical knowledge base for diabetes treatment by preprocessing literature, performing semantic chunking, generating BioBERT embeddings, storing them in a FAISS vector database, and using a RAG framework together with a knowledge graph to retrieve and generate accurate answers.

BioBERTFAISSKnowledge Graph
0 likes · 12 min read
Building a Medical Knowledge Base with RAG: A Step‑by‑Step Example
AntTech
AntTech
Feb 27, 2025 · Artificial Intelligence

Entity Contrastive Learning via Multi-Token Parallel Prediction for Knowledge Graph Completion

Researchers from Ant Group and Zhejiang University propose K-ON, a multi-token parallel prediction method that enables large language models to perceive knowledge graph entities through entity-level contrastive learning, achieving superior performance, lower cost, and higher efficiency on KG completion benchmarks.

K-ONKnowledge GraphMulti‑token prediction
0 likes · 8 min read
Entity Contrastive Learning via Multi-Token Parallel Prediction for Knowledge Graph Completion
Ma Wei Says
Ma Wei Says
Feb 23, 2025 · Artificial Intelligence

How Microsoft’s PIKE‑RAG Builds Knowledge‑Driven AI Across Four Stages

The article explains Microsoft’s open‑source PIKE‑RAG system, detailing its four progressive stages—from knowledge‑base construction to creative multi‑agent reasoning—while describing the underlying modules, chunking strategies, multi‑granularity retrieval, and code snippets that enable specialized domain understanding and inference.

AI RetrievalKnowledge GraphLLM
0 likes · 11 min read
How Microsoft’s PIKE‑RAG Builds Knowledge‑Driven AI Across Four Stages
ZhongAn Tech Team
ZhongAn Tech Team
Feb 22, 2025 · Artificial Intelligence

How SkyReels, DeepSeek NSA, Grok‑3, and KG²RAG Are Shaping the Next AI Wave

This issue reviews China's first open‑source short‑film model SkyReels‑V1, DeepSeek's Native Sparse Attention breakthrough, xAI's massive Grok‑3 deployment on 200k H100 GPUs, and a knowledge‑graph‑guided RAG framework, highlighting their performance gains, architectural innovations, and industry impact.

AIKnowledge GraphRAG
0 likes · 15 min read
How SkyReels, DeepSeek NSA, Grok‑3, and KG²RAG Are Shaping the Next AI Wave
DataFunSummit
DataFunSummit
Jan 30, 2025 · Databases

Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models

This article explains how NebulaGraph’s large‑scale graph database can be used to construct real‑time risk‑control knowledge graphs, describes practical applications such as community detection and path analysis, and explores how large language models enhance graph queries through Text‑to‑GQL, agents, exploration chains, and semi‑structured knowledge extraction.

AIGraph DatabaseKnowledge Graph
0 likes · 11 min read
Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models
Baidu Tech Salon
Baidu Tech Salon
Jan 21, 2025 · Artificial Intelligence

How AI Is Transforming Legal Research: Inside the YuanDian WenDa Smart Q&A Engine

Faced with billions of legal documents and the shortcomings of keyword search, Chinese legal professionals are turning to the AI‑powered YuanDian WenDa engine, which leverages Baidu's Wenxin model, a structured legal database, and prompt‑engineering to deliver trustworthy, citation‑rich answers and rapid research reports.

AIKnowledge GraphLarge Language Model
0 likes · 10 min read
How AI Is Transforming Legal Research: Inside the YuanDian WenDa Smart Q&A Engine
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Dec 9, 2024 · Artificial Intelligence

How Programming Large Models Transform Repository‑Level Code Completion

This article examines how programming large models combined with code knowledge graphs can overcome the limited context of traditional code‑completion tools, detailing key techniques, trigger strategies, context acquisition methods, model fine‑tuning practices, current challenges, and future research directions for intelligent, repository‑wide code suggestions.

AI programmingKnowledge Graphcode completion
0 likes · 14 min read
How Programming Large Models Transform Repository‑Level Code Completion
360 Tech Engineering
360 Tech Engineering
Nov 15, 2024 · Artificial Intelligence

Advances in Multimodal Large Models and Document Understanding Presented at the 2024 Global Machine Learning Conference (Beijing)

At the 2024 Global Machine Learning Conference in Beijing, 360 AI Research Institute showcased cutting‑edge multimodal large‑model research, fine‑grained open‑world object detection, and document understanding technologies, highlighting open‑source releases, real‑world deployments, and competitive achievements in AI competitions.

AI researchKnowledge Graphdocument understanding
0 likes · 7 min read
Advances in Multimodal Large Models and Document Understanding Presented at the 2024 Global Machine Learning Conference (Beijing)
AntTech
AntTech
Nov 13, 2024 · Information Security

Ant Group’s Large‑Model‑Based Security Parallel Plane and Intelligent Threat Detection System

The article details Ant Group’s AI‑driven security parallel plane and intelligent threat detection system, its DKCF‑based architecture, key modules for data correlation, unknown threat discovery, alarm reduction, and knowledge‑graph integration, and its recognition in the 2024 AI Pioneer Case Collection.

Ant GroupDKCFKnowledge Graph
0 likes · 5 min read
Ant Group’s Large‑Model‑Based Security Parallel Plane and Intelligent Threat Detection System
DataFunSummit
DataFunSummit
Oct 25, 2024 · Artificial Intelligence

Progress and Standardization of Large Model + Data Intelligence Applications by the China Academy of Information and Communications Technology

This article reviews the China Academy of Information and Communications Technology's advancements in large‑model‑driven data intelligence, covering development trends, key deployment technologies such as prompt engineering, fine‑tuning and RAG, emerging application paradigms, challenges, and a series of newly drafted standards to guide industry adoption.

AIData IntelligenceKnowledge Graph
0 likes · 13 min read
Progress and Standardization of Large Model + Data Intelligence Applications by the China Academy of Information and Communications Technology
Baobao Algorithm Notes
Baobao Algorithm Notes
Oct 16, 2024 · Artificial Intelligence

How the DB3 Team Won the Meta CRAG RAG Challenge: Prompts, Retrieval, and LoRA Fine‑Tuning

This article analyzes the Meta Comprehensive RAG (CRAG) benchmark, detailing its three tasks, evaluation metrics, and the champion DB3 team's end‑to‑end solution that combines data preprocessing, dual‑stage retrieval, prompt engineering, LoRA‑based fine‑tuning, and public data augmentation to achieve top scores across all tasks.

Knowledge GraphLLMLoRA
0 likes · 17 min read
How the DB3 Team Won the Meta CRAG RAG Challenge: Prompts, Retrieval, and LoRA Fine‑Tuning
JD Retail Technology
JD Retail Technology
Oct 15, 2024 · Artificial Intelligence

Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail

The article examines how large language models are reshaping JD Retail's e‑commerce search and recommendation pipelines, detailing industry evolution, technical challenges such as knowledge hallucination, intent understanding, personalization, cost, and safety, and presenting JD's end‑to‑end AIGC architecture, data preprocessing, alignment, evaluation, and next‑generation AI search solutions.

AIKnowledge Graphe‑commerce
0 likes · 36 min read
Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail
DataFunTalk
DataFunTalk
Oct 4, 2024 · Artificial Intelligence

Building a Commercial Intelligence Assistant with Baidu's Wenxin Large Model: Methods, Optimizations, and Future Outlook

This article shares the exploration and practice of using Baidu's Wenxin large model to build a commercial intelligence assistant, highlighting its impact on business revenue and user experience, code generation, knowledge graph integration, database query optimization, and visual analytics for enhanced data analysis.

AI for enterpriseKnowledge GraphSQL Generation
0 likes · 17 min read
Building a Commercial Intelligence Assistant with Baidu's Wenxin Large Model: Methods, Optimizations, and Future Outlook
DataFunSummit
DataFunSummit
Sep 27, 2024 · Artificial Intelligence

Advances in Educational Large Language Models for Youth Programming and Personalized Learning

The presentation by Dr. Su Yu outlines challenges such as data sparsity and delayed learning effects in AI‑driven education, introduces three technical breakthroughs—domain‑specific LLM training, small‑knowledge learning via hierarchical knowledge graphs, and reinforcement‑based cognitive recommendation—and showcases product applications like the Frog Programming Platform, AI Programming Learning Machine, and digital‑human AI recorded courses.

AI educationKnowledge GraphPersonalized Learning
0 likes · 18 min read
Advances in Educational Large Language Models for Youth Programming and Personalized Learning
58 Tech
58 Tech
Sep 23, 2024 · Artificial Intelligence

Enhancing Commercial Search with Knowledge Graphs and Large‑Model Techniques

This article describes how a commercial search platform iteratively upgrades its system by structuring business knowledge into a knowledge graph, applying multi‑stage entity extraction (CRF, Electra‑CRF, GLM‑3, OCR), and leveraging large language models to improve relevance, user experience, and revenue.

AIKnowledge GraphLarge Language Model
0 likes · 14 min read
Enhancing Commercial Search with Knowledge Graphs and Large‑Model Techniques
AntTech
AntTech
Sep 12, 2024 · Artificial Intelligence

Knowledge‑Enhanced Large Model Service Framework (KAG): Integrating Knowledge Graphs with LLMs for Vertical Domain Applications

The KAG framework combines knowledge‑graph‑driven symbolic reasoning with large language model generation to improve accuracy, reduce hallucinations, and enable controllable, domain‑specific AI services such as government and medical Q&A, with open‑source support via OpenSPG and TuGraph‑DB.

AIFrameworkKnowledge Graph
0 likes · 13 min read
Knowledge‑Enhanced Large Model Service Framework (KAG): Integrating Knowledge Graphs with LLMs for Vertical Domain Applications
AntTech
AntTech
Sep 11, 2024 · Artificial Intelligence

2024 Inclusion·Bund Conference Forum: Exploring the Creative Boundaries and Application Imagination of Large Models

The 2024 Inclusion·Bund Conference hosted a forum on "Large Model Creativity Boundaries and Application Imagination," featuring leading AI experts who discussed agents, multimodal technology, knowledge graphs, announced a new industry alliance, unveiled three major model products, and presented a trustworthy AI framework report for finance, healthcare, and government sectors.

AIFinancial AIKnowledge Graph
0 likes · 6 min read
2024 Inclusion·Bund Conference Forum: Exploring the Creative Boundaries and Application Imagination of Large Models
DataFunSummit
DataFunSummit
Sep 6, 2024 · Artificial Intelligence

Knowledge Graph and RAG Applications in 360 Document Cloud: Challenges and Solutions

This article presents a comprehensive overview of 360's document cloud knowledge management and Q&A scenarios, discussing business pain points, large‑model challenges, the advantages of the intelligent document solution, and how knowledge graphs enhance retrieval‑augmented generation and document standardization for AI‑driven enterprise applications.

AIDocument ManagementEnterprise AI
0 likes · 15 min read
Knowledge Graph and RAG Applications in 360 Document Cloud: Challenges and Solutions
DataFunSummit
DataFunSummit
Jul 16, 2024 · Artificial Intelligence

Knowledge Graph Construction, Reasoning, and QA for Intelligent Hypertension Diagnosis

This article presents a comprehensive exploration of knowledge‑graph‑based modeling, neural‑symbolic multi‑hop reasoning, and large‑model‑driven question answering applied to precise medication decision‑making in hypertension, detailing system architecture, experimental evaluations, real‑world deployments, and future research directions.

Knowledge GraphLarge Language ModelReasoning
0 likes · 26 min read
Knowledge Graph Construction, Reasoning, and QA for Intelligent Hypertension Diagnosis
AntTech
AntTech
Jun 21, 2024 · Artificial Intelligence

Ant Group’s Security Parallel Aspect Fusion AI: A Case Study Selected at the 2024 World Intelligent Industry Expo

The article details Ant Group’s security parallel aspect fusion AI solution, selected as an exemplary case at the 2024 World Intelligent Industry Expo, explaining its multi‑dimensional data collection, large‑model integration, baseline construction, knowledge‑graph generation, and superior threat‑detection performance.

AIAnt GroupKnowledge Graph
0 likes · 4 min read
Ant Group’s Security Parallel Aspect Fusion AI: A Case Study Selected at the 2024 World Intelligent Industry Expo
JD Tech
JD Tech
Jun 19, 2024 · Artificial Intelligence

Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs

This article surveys the rapid expansion of large AI models, covering prompt engineering, structured prompts, retrieval‑augmented generation, AI agents, fine‑tuning strategies, vector database technology, knowledge graphs, function calling, and their collective role in moving toward artificial general intelligence.

AIFine‑tuningKnowledge Graph
0 likes · 23 min read
Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs
DataFunSummit
DataFunSummit
Jun 18, 2024 · Artificial Intelligence

Conditional and Multimodal Knowledge Graph Construction, Extraction, and Integration with Large Models

This article presents a comprehensive overview of conditional and multimodal knowledge graphs, covering their background, construction pipelines, extraction techniques, dataset creation, semi‑supervised learning strategies, and how they can be fused with large language models for enhanced reasoning and application in tasks such as intelligent QA and video scene graph generation.

AIKnowledge Graphconditional KG
0 likes · 23 min read
Conditional and Multimodal Knowledge Graph Construction, Extraction, and Integration with Large Models
NewBeeNLP
NewBeeNLP
Jun 18, 2024 · Artificial Intelligence

How Shopee Builds an E‑Commerce Knowledge Graph and Leverages Large Models

This article presents Shopee's comprehensive approach to constructing an e‑commerce knowledge graph, detailing the challenges of heterogeneous data, multi‑language handling, entity disambiguation, and the integration of deep learning and large language models to improve product matching, recommendation, and operational efficiency.

AIKnowledge GraphLarge Language Model
0 likes · 22 min read
How Shopee Builds an E‑Commerce Knowledge Graph and Leverages Large Models
DataFunTalk
DataFunTalk
Jun 15, 2024 · Artificial Intelligence

Research on Domain Large Models by Fudan University Knowledge Factory Lab

This article presents Fudan University's Knowledge Factory Lab research on domain large models, covering background, challenges, data selection, source‑enhanced tagging, capability improvements, self‑correction, collaborative workflows, and retrieval‑augmented generation for practical AI deployment.

AI researchKnowledge Graphdomain adaptation
0 likes · 16 min read
Research on Domain Large Models by Fudan University Knowledge Factory Lab
DataFunTalk
DataFunTalk
Jun 14, 2024 · Artificial Intelligence

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

This article presents Shopee's comprehensive exploration of building an e‑commerce knowledge graph, detailing its challenges, construction pipeline, AI‑driven extraction and fusion techniques, multilingual and multimodal modeling, and practical applications ranging from search and recommendation to AI assistants and real‑time updates.

AI applicationsKnowledge Graphentity resolution
0 likes · 21 min read
Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models
DataFunTalk
DataFunTalk
Jun 11, 2024 · Artificial Intelligence

Intelligent Risk Control: Concepts, Challenges, and Integrated Operational Architecture for Banking

This article explores the concept of intelligent risk control in banking, detailing its AI‑driven architecture, current challenges such as external data costs and model‑deployment friction, and proposes an integrated operational framework that leverages big data, knowledge graphs, and MLOps to enhance risk detection and decision‑making.

Artificial IntelligenceKnowledge GraphMLOps
0 likes · 14 min read
Intelligent Risk Control: Concepts, Challenges, and Integrated Operational Architecture for Banking
DataFunTalk
DataFunTalk
Jun 4, 2024 · Artificial Intelligence

Building an Integrated Intelligent Risk Control System for Banking

The article explores the concept, challenges, and future directions of intelligent banking risk control, emphasizing data integration, AI-driven modeling, feature engineering, MLOps, knowledge graphs, and large‑model applications to create a unified, automated risk management platform.

AIKnowledge GraphMLOps
0 likes · 10 min read
Building an Integrated Intelligent Risk Control System for Banking
DataFunTalk
DataFunTalk
May 31, 2024 · Artificial Intelligence

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

This article explains why knowledge graphs are crucial for industrial applications, describes the main product forms and architectural considerations, and shares real‑world case studies illustrating how AI, large models, and graph databases can be combined to improve knowledge management and decision‑making.

AIGraph DatabaseIndustrial Applications
0 likes · 20 min read
The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases
DataFunSummit
DataFunSummit
Apr 16, 2024 · Artificial Intelligence

Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques

This article explains intelligent risk control as a synergy of expert experience and algorithmic decision‑making, outlines its definition, expert human systems, digital algorithmic systems, and explores advanced AI methods such as reinforcement learning, large language models with knowledge graphs, adversarial learning, graph neural networks, and a practical supply‑chain case study.

Graph Neural NetworkKnowledge GraphLarge Language Model
0 likes · 11 min read
Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques
DataFunSummit
DataFunSummit
Apr 13, 2024 · Artificial Intelligence

Understanding and Mitigating Hallucinations in Large Language Model Industry Q&A with Knowledge Graphs

This article examines why large language models often produce hallucinations in industry question‑answering, defines the phenomenon, explores its data and training origins, proposes evaluation metrics, and presents practical strategies—including high‑quality fine‑tuning data, honest refusal mechanisms, advanced decoding methods, and external knowledge‑graph augmentation—to reduce hallucinations and improve reliability.

AI evaluationKnowledge Graphhallucination
0 likes · 21 min read
Understanding and Mitigating Hallucinations in Large Language Model Industry Q&A with Knowledge Graphs
DataFunSummit
DataFunSummit
Mar 13, 2024 · Big Data

GraphAr: An Open Standard Graph Storage File Format

GraphAr is an open, standardized file format for storing large-scale graph and knowledge‑graph data, designed to address the challenges of graph computing ecosystems, offering superior performance and interoperability compared to existing formats, with growing community support and promising applications in data lakes and analytics.

GraphArKnowledge Graphgraph storage
0 likes · 2 min read
GraphAr: An Open Standard Graph Storage File Format
DataFunSummit
DataFunSummit
Mar 11, 2024 · Artificial Intelligence

The Synergy of Large Language Models and Knowledge Graphs: Current Status and Future Directions

This article examines how large language models enhance human‑machine interaction and can be combined with knowledge graphs to improve factual Q&A, task‑oriented services, and structured decision‑making, while highlighting ongoing challenges and the enduring role of knowledge graphs in structured domains.

AIKnowledge GraphLarge Language Model
0 likes · 4 min read
The Synergy of Large Language Models and Knowledge Graphs: Current Status and Future Directions
DataFunTalk
DataFunTalk
Mar 11, 2024 · Artificial Intelligence

Challenges and Future Directions for Knowledge Graph Construction in the Era of Large Models

The article examines the high construction cost and lack of unified standards in knowledge graphs, explains why large language models cannot fully solve core issues such as hallucination and multi‑hop reasoning, and argues that a new, unified semantic framework integrating large models is essential for future progress.

AIGraph DatabaseKnowledge Graph
0 likes · 5 min read
Challenges and Future Directions for Knowledge Graph Construction in the Era of Large Models
DataFunTalk
DataFunTalk
Mar 7, 2024 · Artificial Intelligence

Integrating Large Language Models with Knowledge Graphs: Current Status and Future Directions

Large language models enhance human‑machine interaction and natural language understanding, but knowledge graphs remain essential for structured, low‑cost decision making, factual retrieval, and domains like finance; combining both can improve conversational systems, while ongoing challenges in knowledge graph construction persist, as highlighted for the upcoming DataFunSummit2024.

Conversational AIKnowledge GraphLarge Language Model
0 likes · 5 min read
Integrating Large Language Models with Knowledge Graphs: Current Status and Future Directions
DataFunTalk
DataFunTalk
Mar 6, 2024 · Artificial Intelligence

Construction and Practical Application of a User Profile Tagging System

This article details the design, integration, and operational practices of a comprehensive user and item profiling tag system, covering tag taxonomy, construction methods, update cycles, access strategies, algorithmic implementations, and real‑world applications such as marketing, attribution analysis, and A/B testing.

AB testingKnowledge GraphMachine Learning
0 likes · 20 min read
Construction and Practical Application of a User Profile Tagging System
NewBeeNLP
NewBeeNLP
Feb 27, 2024 · Artificial Intelligence

Boosting E‑Commerce AIGC with Knowledge Graphs: From Multimodal Inputs to Controlled LLMs

The article details how JD.com leverages domain‑specific and generic knowledge graphs to enhance multimodal product information, improve controlled text generation, and boost LLM performance for e‑commerce copywriting, covering model architecture, copy‑only mechanisms, token‑type encoding, experimental results, and practical deployment scenarios.

AIGCKnowledge GraphLLM
0 likes · 23 min read
Boosting E‑Commerce AIGC with Knowledge Graphs: From Multimodal Inputs to Controlled LLMs
DataFunSummit
DataFunSummit
Feb 21, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models

This article presents a comprehensive overview of how knowledge graphs are integrated into e‑commerce AIGC pipelines, covering domain‑specific and generic KG‑driven text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language models in commercial settings.

AIAIGCKnowledge Graph
0 likes · 23 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models
DataFunTalk
DataFunTalk
Feb 10, 2024 · Artificial Intelligence

Mitigating Hallucinations in Large Language Model Applications with Knowledge Graphs

This article examines the challenges of using large language models for industry Q&A, defines hallucination phenomena, evaluates their causes and impact, and proposes a set of strategies—including high‑quality fine‑tuning data, honest alignment, advanced decoding, and external knowledge‑graph augmentation—to reduce hallucinations and improve answer reliability.

Knowledge Graphhallucinationlarge language models
0 likes · 21 min read
Mitigating Hallucinations in Large Language Model Applications with Knowledge Graphs
DataFunSummit
DataFunSummit
Feb 5, 2024 · Artificial Intelligence

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

Ant Group shares its comprehensive knowledge graph initiatives, detailing the fundamentals, construction pipeline, fusion techniques, cognitive representations, diverse business applications, and the emerging synergy between knowledge graphs and large language models, illustrating how graph-based AI enhances accuracy, interpretability, and downstream services.

Artificial IntelligenceGraph FusionKnowledge Graph
0 likes · 14 min read
Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models
DataFunTalk
DataFunTalk
Jan 16, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration

This article presents a comprehensive overview of how knowledge graphs are leveraged in e‑commerce AIGC pipelines, detailing domain‑specific and general graph‑based text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language model integration.

AIGCKnowledge GraphLarge Language Model
0 likes · 22 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration
DataFunTalk
DataFunTalk
Nov 2, 2023 · Artificial Intelligence

Enhancing Language and Vision Models with External Knowledge and Tools: OREO‑LM, REVEAL, and AVIS

This article reviews recent research on augmenting language and multimodal models with external knowledge sources and tool‑calling mechanisms, covering three systems—OREO‑LM for knowledge‑graph reasoning, REVEAL for multi‑source visual‑language pretraining, and AVIS for dynamic tool selection—and their experimental results and implications.

Knowledge GraphReasoningTool Integration
0 likes · 28 min read
Enhancing Language and Vision Models with External Knowledge and Tools: OREO‑LM, REVEAL, and AVIS
DataFunTalk
DataFunTalk
Oct 25, 2023 · Artificial Intelligence

Applying Large Language Models to Wireless Network Intelligent Operations: Opportunities, Challenges, and Platform Construction

This article examines how large language model technology can be leveraged for intelligent operation of wireless communication networks, analyzing its advantages, current challenges, platform architecture, experimental validation, and future research directions within the telecom industry.

AIKnowledge Graphintelligent operation
0 likes · 17 min read
Applying Large Language Models to Wireless Network Intelligent Operations: Opportunities, Challenges, and Platform Construction
DataFunTalk
DataFunTalk
Oct 15, 2023 · Artificial Intelligence

Building an Event Knowledge Graph for Telecom Network Operations

This article describes how China Telecom's AI R&D Center designs and implements a network operations event knowledge graph using AI techniques, graph databases, and UIE models to improve fault handling, automate recommendations, and enhance intelligent assistance for telecom network maintenance.

AIKnowledge GraphNeo4j
0 likes · 16 min read
Building an Event Knowledge Graph for Telecom Network Operations
DataFunTalk
DataFunTalk
Sep 7, 2023 · Artificial Intelligence

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

This article presents Ant Group's work on knowledge graphs, covering the fundamentals, construction pipeline, fusion techniques, cognitive modeling, real‑world applications, and the emerging synergy between knowledge graphs and large language models, while highlighting technical challenges and future directions.

AIAnt GroupApplications
0 likes · 13 min read
Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models
DataFunTalk
DataFunTalk
Aug 16, 2023 · Artificial Intelligence

Data Engineering, Automated Evaluation, and Knowledge Graph Integration in Large Model Development

This article presents a comprehensive overview of data engineering practices, pre‑training data composition, automated model evaluation techniques, and the synergistic use of knowledge graphs within large‑scale AI model research, highlighting pipelines, quality criteria, and practical case studies.

Data EngineeringKnowledge Graphautomation evaluation
0 likes · 29 min read
Data Engineering, Automated Evaluation, and Knowledge Graph Integration in Large Model Development
DataFunTalk
DataFunTalk
Aug 9, 2023 · Artificial Intelligence

CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang

The 17th China Conference on Knowledge Graph and Semantic Computing (CCKS 2023) will be held in Shenyang from August 24‑27, featuring the theme “Knowledge Graph Empowering General AI”, a full program of workshops, invited talks, special forums, industrial sessions, registration details, and links to the OpenKG initiative.

AICCKS2023Knowledge Graph
0 likes · 9 min read
CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang
Architects Research Society
Architects Research Society
Aug 2, 2023 · Fundamentals

Data Fabric Architecture: Three Patterns, Core Technical Components, and Inherent Limitations

The article explains data fabric architecture as a promising approach for enabling data exchange across distributed systems, outlines its three design patterns, describes key technical components such as data virtualization, data catalog, and knowledge graphs, and discusses the trade‑offs, costs, and limitations that organizations must consider.

Data CatalogData FabricKnowledge Graph
0 likes · 17 min read
Data Fabric Architecture: Three Patterns, Core Technical Components, and Inherent Limitations
DataFunSummit
DataFunSummit
Jul 31, 2023 · Artificial Intelligence

Knowledge Graph based Graph Neural Network Reasoning: From KG Background to GNN for KG and KG for GNN

This article introduces the fundamentals of knowledge graphs, explains how graph neural networks can be adapted for knowledge graph reasoning, presents specialized GNN designs such as CompGCN and RED‑GNN, and discusses experimental results, interpretability, efficiency improvements, and future research directions.

Graph Neural NetworkKG reasoningKnowledge Graph
0 likes · 11 min read
Knowledge Graph based Graph Neural Network Reasoning: From KG Background to GNN for KG and KG for GNN
DataFunTalk
DataFunTalk
Jul 28, 2023 · Artificial Intelligence

Insurance Anti‑Fraud Risk Control System: Architecture, Core Capabilities, and Case Studies

This article presents Taiping Jinke's end‑to‑end insurance anti‑fraud risk control framework, detailing industry pain points, core AI‑driven capabilities, platform blueprint, specific car and health insurance fraud engines, and real‑world case studies that illustrate how big‑data, machine‑learning and knowledge‑graph techniques are integrated into business processes.

Knowledge GraphMachine Learningfraud detection
0 likes · 16 min read
Insurance Anti‑Fraud Risk Control System: Architecture, Core Capabilities, and Case Studies
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 11, 2023 · Artificial Intelligence

How FashionKLIP Boosts E‑Commerce Image‑Text Retrieval with a Multimodal Knowledge Graph

The ACL 2023 paper introduces FashionKLIP, an e‑commerce visual‑language model enhanced by a multimodal concept knowledge graph, detailing its automated knowledge graph construction, dual‑stream training strategy, and superior performance on FashionGen retrieval benchmarks compared to state‑of‑the‑art methods.

FashionKLIPKnowledge GraphMultimodal Retrieval
0 likes · 10 min read
How FashionKLIP Boosts E‑Commerce Image‑Text Retrieval with a Multimodal Knowledge Graph
DataFunTalk
DataFunTalk
Jul 8, 2023 · Big Data

Key Technologies and Applications of Semantic Knowledge Management in Ant Financial Knowledge Graph Platform

This article presents Ant Group's large‑scale financial knowledge graph platform, detailing its semantic knowledge representation, hybrid graph model, distributed management architecture, core capabilities such as knowledge evolution and cross‑domain fusion, and showcases applications like anti‑fraud capital‑flow analysis and future DataFabric‑oriented knowledge sharing.

Graph DatabaseKnowledge Graphdistributed inference
0 likes · 18 min read
Key Technologies and Applications of Semantic Knowledge Management in Ant Financial Knowledge Graph Platform
DataFunTalk
DataFunTalk
Jul 5, 2023 · Artificial Intelligence

Data Intelligence as a Catalyst for Digital Transformation – Highlights from Prof. Xiao Yanghua’s Shanghai Launch Speech

In a Shanghai launch event for Altair RapidMiner, Prof. Xiao Yanghua explained why data is a strategic resource, outlined the challenges of data value realization, introduced the concept of data intelligence driven by both data‑driven and knowledge‑driven systems, and discussed emerging trends such as low‑code platforms, large‑model integration, and the shift of AI applications from consumer to industrial domains.

Data IntelligenceKnowledge GraphLow‑code
0 likes · 18 min read
Data Intelligence as a Catalyst for Digital Transformation – Highlights from Prof. Xiao Yanghua’s Shanghai Launch Speech
DataFunSummit
DataFunSummit
Jun 28, 2023 · Artificial Intelligence

OPPO's CHAOS Pretrained Large Model and GammaE Knowledge‑Graph Multi‑hop Reasoning: Techniques and Insights

This article presents OPPO Research Institute's recent advances in large‑model AI, detailing the CHAOS pretrained model that topped the CLUE leaderboard, the knowledge‑enhanced training pipeline, and the GammaE model for multi‑hop reasoning over knowledge graphs, together with experimental results and practical training tips.

AI researchGammaEKnowledge Graph
0 likes · 20 min read
OPPO's CHAOS Pretrained Large Model and GammaE Knowledge‑Graph Multi‑hop Reasoning: Techniques and Insights
DataFunTalk
DataFunTalk
Jun 28, 2023 · Artificial Intelligence

Building and Applying a Multi‑Language Product Knowledge Graph at Shopee

This presentation details Shopee's approach to constructing a multilingual product knowledge graph, covering ontology modeling, data acquisition, fusion techniques, and practical applications, while discussing challenges, model architectures, and future directions for large‑scale e‑commerce AI systems.

Knowledge GraphMachine Learninge‑commerce
0 likes · 20 min read
Building and Applying a Multi‑Language Product Knowledge Graph at Shopee
DataFunSummit
DataFunSummit
Jun 20, 2023 · Artificial Intelligence

Causal Inference–Based Intelligent Diagnosis for E‑Commerce Merchants: Practice and Key Technologies

This article presents a comprehensive overview of applying causal inference to Alibaba’s Business Intelligence platform, detailing fundamental concepts, the merchant intelligent diagnosis system architecture, key technologies such as hybrid causal network discovery (HCM) and deep attribution, and showcases the resulting operational impact.

AIAlibabaKnowledge Graph
0 likes · 14 min read
Causal Inference–Based Intelligent Diagnosis for E‑Commerce Merchants: Practice and Key Technologies
DataFunSummit
DataFunSummit
Jun 9, 2023 · Artificial Intelligence

Construction and Application of a Power Industry Knowledge Graph

This article describes how a power‑industry knowledge graph is built using AI, big‑data and cloud techniques, outlines its multi‑dimensional structure, and demonstrates various application scenarios such as personal achievement aggregation, professional learning, job training, generic knowledge services, and decision support for power production.

Big DataKnowledge Graphknowledge management
0 likes · 10 min read
Construction and Application of a Power Industry Knowledge Graph
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 9, 2023 · Artificial Intelligence

Designing Scalable Knowledge Graph Schemas: From Structure to Semantic Modeling

This guide presents a comprehensive methodology for building knowledge graph schemas that decouple structural representation from semantic meaning, covering schema design, attribute semantic standardization, concept modeling, multi‑relational and hypergraph techniques, and practical steps for implementation across complex business domains.

AIKnowledge GraphSemantic Modeling
0 likes · 54 min read
Designing Scalable Knowledge Graph Schemas: From Structure to Semantic Modeling
WeChat Backend Team
WeChat Backend Team
Jun 7, 2023 · Artificial Intelligence

How TransE+ Boosts Knowledge Graph Embedding on WeChat’s Plato Framework

This article presents the development and deployment of the TransE+ knowledge‑graph embedding model on the Plato graph‑computing platform, detailing its architectural upgrades, training optimizations, performance gains, and business‑oriented adaptations for large‑scale real‑world applications.

AIEmbeddingKnowledge Graph
0 likes · 22 min read
How TransE+ Boosts Knowledge Graph Embedding on WeChat’s Plato Framework
DataFunSummit
DataFunSummit
Jun 2, 2023 · Artificial Intelligence

Knowledge Graph–Based Root Cause Analysis for Intelligent Manufacturing

This article explains how knowledge‑graph technology combined with artificial‑intelligence methods can enhance intelligent manufacturing by improving quality and reliability through advanced root‑cause analysis, detailing development trends, analytical techniques, challenges, practical frameworks, and real‑world case studies.

Big DataKnowledge GraphRoot Cause Analysis
0 likes · 17 min read
Knowledge Graph–Based Root Cause Analysis for Intelligent Manufacturing
DataFunSummit
DataFunSummit
May 17, 2023 · Artificial Intelligence

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

This article reviews the development of event extraction, explains its importance for knowledge graphs, surveys four major algorithmic paradigms, introduces the OmniEvent open‑source toolkit with its unified benchmark and modular design, and outlines future research directions such as document‑level extraction and event relation modeling.

Event ExtractionKnowledge GraphNLP
0 likes · 11 min read
Event Extraction: Overview, Methods, and the OmniEvent Toolkit
DataFunTalk
DataFunTalk
May 16, 2023 · Artificial Intelligence

Multimodal Deep Neural Network for Predicting Drug‑Drug Interactions

The presentation introduces a multimodal deep neural network (MDNN) that integrates drug knowledge graphs and heterogeneous drug features to predict drug‑drug interactions, demonstrates state‑of‑the‑art performance on a large IJCAI‑2021 dataset, and discusses its architecture, evaluation, and future challenges.

Drug InteractionKnowledge Graphmultimodal neural network
0 likes · 12 min read
Multimodal Deep Neural Network for Predicting Drug‑Drug Interactions
360 Tech Engineering
360 Tech Engineering
Mar 23, 2023 · Artificial Intelligence

Integrating Knowledge Graphs with ChatGPT: Opportunities, Challenges, and Applications

The article examines ChatGPT's rapid adoption, the rise of generative AI, and how integrating external knowledge sources such as knowledge graphs can improve factual accuracy, enhance downstream tasks, and enable a variety of ChatGPT+ applications ranging from intelligent search to office automation tools.

AI applicationsChatGPTGenerative AI
0 likes · 9 min read
Integrating Knowledge Graphs with ChatGPT: Opportunities, Challenges, and Applications
Efficient Ops
Efficient Ops
Mar 20, 2023 · Artificial Intelligence

How AI‑Powered Digital Employees Transform IT Operations and Boost Efficiency

This article describes how the Industrial and Commercial Bank of China's software development center created the AI‑driven digital employee “Ruan Xiaoyan,” detailing its functions, user touchpoints, and practical applications such as intelligent customer service, smart workflow automation, and proactive reminders that enhance IT operations efficiency.

AIDigital EmployeeKnowledge Graph
0 likes · 11 min read
How AI‑Powered Digital Employees Transform IT Operations and Boost Efficiency
DataFunTalk
DataFunTalk
Mar 20, 2023 · Artificial Intelligence

Construction and Application of Meituan Hotel & Travel Knowledge Graph

This article details Meituan's hotel‑travel knowledge graph, describing its background, scene‑recognition challenges, multi‑layer graph architecture, technical modules for knowledge mining, relation discrimination and supply tagging, and its practical applications in search, recommendation, ranking, and risk control, while also outlining future directions and a Q&A session.

AIKnowledge GraphMeituan
0 likes · 15 min read
Construction and Application of Meituan Hotel & Travel Knowledge Graph