Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"

Official implementation for "Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation" (NeurIPS'24)

Official code for "Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach" (NeurIPS 2024).

Temporal Gaussian Copula For Clinical MTS

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

The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).

VGOD framework for outlier detection

The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs

"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023

[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.

"GraphArena: Evaluating and Exploring Large Language Models on Graph Computation" in ICLR 2025

Awesome Papers About Performing Prompting On Graphs

Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"

An implementation of DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers

A collection of AWESOME things about Graph-Related LLMs.

A Unified Python Library for Graph Prompting