XuexiongLuoMQ / ComGALinks
The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
☆36Updated 2 years ago
Alternatives and similar repositories for ComGA
Users that are interested in ComGA are comparing it to the libraries listed below
Sorting:
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- Data repository for PyGOD☆43Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- ☆38Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- ☆13Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- ☆31Updated 3 years ago
- ☆29Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆181Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆19Updated 2 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆42Updated 2 years ago
- ☆49Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- ☆18Updated 2 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated 11 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆54Updated last month
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- ☆23Updated last year
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆22Updated 2 years ago
- ☆35Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆12Updated 2 years ago