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
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