In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global context.

This is the official code for paper: Token Summarisation for Efficient Vision Transformers via Graph-based Token Propagation - Ackesnal/GTP-ViT ...

Based on this, research teams from HKUST and Tencent proposed the CausalMACEmethod, which systematically introduces causal reasoning mechanisms into open-world multi-agent systems, providing a ...