LeiCaiwsu / StrGNN
☆10Updated 2 years ago
Alternatives and similar repositories for StrGNN:
Users that are interested in StrGNN are comparing it to the libraries listed below
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆45Updated 3 years ago
- ☆12Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆23Updated 9 months ago
- ☆19Updated last year
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated 10 months ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆57Updated 3 years ago
- ☆37Updated 2 years ago
- ☆12Updated 2 years ago
- ☆29Updated 2 years ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆11Updated 11 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆42Updated 5 months ago
- ☆28Updated last year
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- ☆22Updated last year
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆36Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆56Updated last year
- ☆33Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆32Updated 3 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆43Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆89Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆47Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆20Updated last year
- The code of Addgraph frame.☆23Updated 3 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆11Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆37Updated 3 years ago
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆11Updated last year