3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
Yitong Hao, Enbo He, Yue Zhang +1
Graph anomaly detection (GAD) aims to identify nodes from a graph that are significantly different from normal patterns. Most previous studies are model-driven, focusing on enhanci…
cs.SI2024★ 3 cited
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks
Enbo He, Yitong Hao, Yue Zhang +2
Anomaly detection on attributed networks aims to find the nodes whose behaviors are significantly different from other majority nodes. Generally, network data contains information…