TrustAGI-Lab / ANEMONELinks
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
☆49Updated 4 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".☆48Updated 4 years ago
- ☆19Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆99Updated 4 years ago
- ☆31Updated 3 years ago
- ☆38Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆65Updated 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☆53Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆196Updated last year
- ☆31Updated 2 years ago
- ☆37Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆53Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆60Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Updated last year
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆28Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Updated 2 years ago
- ☆32Updated 2 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆43Updated 2 years ago
- ☆50Updated 3 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- ☆38Updated 2 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆20Updated 2 years ago