inductive learning

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.

KG reasoningKnowledge GraphRED-GNN

0 likes · 11 min read

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

DataFunTalk

Jul 23, 2022 · Artificial Intelligence

Graph Algorithm Deployment and Practices on the DataFun Security Spark Cluster

This article presents a comprehensive overview of deploying and running graph learning algorithms—both inductive and transductive—on the secure Spark cluster, covering framework choices, data sampling strategies, distributed training techniques, model evaluation metrics, and future directions.

Sparkbig datadistributed training

0 likes · 13 min read

Graph Algorithm Deployment and Practices on the DataFun Security Spark Cluster