qitianwu/GraphOOD-GNNSafe

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"

👽 Out-of-Distribution Detection with PyTorch

Locally Private Graph Neural Networks (ACM CCS 2021)

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

(ICML 2026) GraphPFN: A Prior-Data Fitted Graph Foundation Model

Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Code and Content for Manning Publication on Graph Neural Networks