zjunet / AMNetLinks
☆38Updated 3 years ago
Alternatives and similar repositories for AMNet
Users that are interested in AMNet are comparing it to the libraries listed below
Sorting:
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆132Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆49Updated 2 years ago
- Data repository for PyGOD☆43Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆187Updated last year
- ☆30Updated 2 years ago
- ☆31Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆27Updated 3 years ago
- ☆35Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- ☆14Updated 2 years ago
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆129Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- ☆18Updated 2 years ago
- ☆23Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆19Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆23Updated 2 years ago
- ☆38Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆32Updated 3 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 10 months ago