Orion-wyc / GAGALinks
Fraud Detection, Low Homophily, Label Utilization, Graph Mining
☆49Updated last year
Alternatives and similar repositories for GAGA
Users that are interested in GAGA are comparing it to the libraries listed below
Sorting:
- ☆31Updated 3 years ago
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆181Updated last year
- ☆38Updated 3 years ago
- ☆29Updated last year
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆31Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Deep Graph Outlier Detection☆67Updated last year
- ☆18Updated 2 years ago
- Data repository for PyGOD☆43Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- The source code of HeCo☆166Updated 3 years ago
- ☆35Updated 3 years ago
- ☆97Updated 4 years ago
- ☆115Updated last year
- ☆47Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆80Updated 4 years ago
- ☆38Updated 3 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- ☆23Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- codes of LEGNN for Semi-supervised Node Classification☆12Updated 3 years ago
- NeurIPS 2022 - SHGP☆31Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago