TrustAGI-Lab / ANEMONELinks
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
☆49Updated 3 years ago
Alternatives and similar repositories for ANEMONE
Users that are interested in ANEMONE 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
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- ☆31Updated 3 years ago
- ☆18Updated 2 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆38Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆27Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 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
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆183Updated last year
- ☆29Updated 2 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆48Updated 8 months ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- ☆14Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆22Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆42Updated 2 years ago
- ☆35Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- ☆38Updated 3 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆26Updated last year
- ☆23Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆49Updated 2 years ago