sample imbalance

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.

active learninggraph datagraph neural networks

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.

active learninggraph datagraph neural networks

0 likes · 16 min read

Active Learning and Sample Imbalance in Graph Data for Risk Control