mala-lab / Awesome-Deep-Graph-Anomaly-DetectionLinks
Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection (TKDE2025)
☆111Updated 2 weeks ago
Alternatives and similar repositories for Awesome-Deep-Graph-Anomaly-Detection
Users that are interested in Awesome-Deep-Graph-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆51Updated last month
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆41Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆126Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆124Updated last year
- ☆29Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆91Updated 4 years ago
- ☆38Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆42Updated 2 years ago
- ☆41Updated 7 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆52Updated 8 months ago
- A Survey of Learning from Graphs with Heterophily☆142Updated 3 months ago
- ☆30Updated 7 months ago
- Official PyTorch implementation of "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection" (KDD2025)☆21Updated 3 weeks ago
- Deep Graph Outlier Detection☆66Updated last year
- ☆12Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆76Updated 9 months ago
- ☆49Updated 2 years ago
- Data repository for PyGOD☆42Updated last year
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆57Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆45Updated 7 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆72Updated last month
- ☆11Updated 3 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 8 months ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆24Updated 11 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago