Graph foundation models
Graph Foundation Model (GFM) is a new trending research topic in the graph domain,
aiming to develop a graph model capable of generalizing across different graphs and tasks …
aiming to develop a graph model capable of generalizing across different graphs and tasks …
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Graph anomaly detection (GAD), which aims to identify abnormal nodes that differ from the
majority within a graph, has garnered significant attention. However, current GAD methods …
majority within a graph, has garnered significant attention. However, current GAD methods …
Position: Graph Foundation Models Are Already Here
Graph Foundation Models (GFMs) are emerging as a significant research topic in the graph
domain, aiming to develop graph models trained on extensive and diverse data to enhance …
domain, aiming to develop graph models trained on extensive and diverse data to enhance …