WangXuhongCN / OCGNNLinks
my implement of my paper
☆63Updated 3 years ago
Alternatives and similar repositories for OCGNN
Users that are interested in OCGNN are comparing it to the libraries listed below
Sorting:
- AnomalyDAE (ICASSP2020)☆51Updated 5 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆57Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆180Updated 11 months ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆90Updated 4 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆56Updated last year
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- ☆38Updated 3 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆131Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆26Updated 2 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆64Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- ☆38Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- ☆58Updated 5 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- The code of Addgraph frame.☆23Updated 3 years ago
- ☆29Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆44Updated 6 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆120Updated 11 months ago
- Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks☆12Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆139Updated 2 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆24Updated 2 years ago
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated 11 months ago