squareRoot3 / Rethinking-Anomaly-Detection
"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
☆176Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for Rethinking-Anomaly-Detection
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆84Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆130Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆99Updated 4 months ago
- (WWW 2021) Source code of PC-GNN☆98Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆110Updated 10 months ago
- ☆36Updated 2 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆70Updated 3 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆51Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆82Updated 2 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆127Updated last year
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆44Updated 11 months ago
- The pytorch implementation of DCI (SIGIR2021).☆35Updated last year
- ☆28Updated last year
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆130Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆50Updated 11 months ago
- ☆298Updated 3 months ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆43Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆40Updated last year
- ☆45Updated last year
- ☆99Updated last year
- my implement of my paper☆62Updated 3 years ago
- ☆93Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆60Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆77Updated 2 years ago
- Data repository for PyGOD☆38Updated 9 months ago
- Deep Graph Outlier Detection☆64Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆47Updated 2 years ago