graph data | BestHub

DataFunSummit

Nov 17, 2023 · Artificial Intelligence

Semantic‑Aware Active Learning on Graph Data for Risk Control: Tackling Sample Imbalance

This presentation discusses the challenges of label scarcity and class imbalance in graph‑based risk‑control scenarios and proposes a semantic‑aware active‑learning framework that combines uncertainty, graph structure, prototype diversity, and double‑channel information alignment to improve node classification performance.

Graph Neural Networksactive learninggraph data

0 likes · 18 min read

Semantic‑Aware Active Learning on Graph Data for Risk Control: Tackling Sample Imbalance

DataFunTalk

Sep 21, 2023 · Artificial Intelligence

Active Learning and Sample Imbalance in Graph Data for Risk Control

This presentation explores the challenges of label scarcity and class imbalance in graph‑based risk‑control scenarios, proposing semantic‑aware active learning and prototype‑driven sampling strategies to improve node classification performance on imbalanced graph datasets.

Graph Neural Networksactive learninggraph data

0 likes · 16 min read

Active Learning and Sample Imbalance in Graph Data for Risk Control

DataFunTalk

May 14, 2022 · Artificial Intelligence

Introducing DGL: An Efficient, User‑Friendly, Open Graph Deep Learning Platform

This article presents an overview of graph data and graph neural networks, explains the core concepts of message‑passing GNNs, highlights DGL’s flexible API, high‑performance system design, large‑scale training capabilities and open‑source ecosystem, and outlines future plans and community resources.

DGLDeep LearningGraph Neural Networks

0 likes · 17 min read

Introducing DGL: An Efficient, User‑Friendly, Open Graph Deep Learning Platform