mala-lab / Awesome-Deep-Graph-Anomaly-DetectionLinks
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
☆127Updated last week
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"☆55Updated 3 weeks ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆129Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- ☆29Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆183Updated last year
- ☆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
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆58Updated 10 months ago
- ☆49Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆60Updated last year
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆205Updated last month
- Data repository for PyGOD☆43Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆26Updated last year
- ☆12Updated 2 years ago
- ☆49Updated 8 months ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆12Updated last year
- Deep Graph Outlier Detection☆67Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆76Updated 2 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆253Updated last year