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20192026
most citedAnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection

2 citations · 7 across the 13 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

Graph-level Anomaly Detection via Hierarchical Memory Networks

Chaoxi Niu, Guansong Pang, Ling Chen

Graph-level anomaly detection aims to identify abnormal graphs that exhibit deviant structures and node attributes compared to the majority in a graph set. One primary challenge is…

cs.LG2023

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning

Chaoxi Niu, Guansong Pang, Ling Chen

Hard negative mining has shown effective in enhancing self-supervised contrastive learning (CL) on diverse data types, including graph CL (GCL). The existing hardness-aware CL meth…