gloooryyt / oddball_py3Links
Python3 implementation of oddball
☆36Updated last year
Alternatives and similar repositories for oddball_py3
Users that are interested in oddball_py3 are comparing it to the libraries listed below
Sorting:
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆372Updated 2 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 4 years ago
- 用于图异常检测的数据集☆44Updated 5 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆288Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆129Updated last year
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆540Updated last month
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- 读过的一些论文,给自己一个总结和交代吧☆18Updated last year
- A Deep Graph-based Toolbox for Fraud Detection☆739Updated 3 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆132Updated 4 years ago
- A collection of data mining algorithms on big graphs and time series☆93Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆187Updated last year
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- Data repository for PyGOD☆43Updated last year
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆132Updated last year
- code of HetGNN☆412Updated 5 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- ☆38Updated 3 years ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆168Updated 2 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆449Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆43Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆94Updated 3 years ago
- ☆329Updated last year
- ☆31Updated 3 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆140Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆58Updated 11 months ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago