BGT-M / spartan2Links
A collection of data mining algorithms on big graphs and time series
☆96Updated 3 years ago
Alternatives and similar repositories for spartan2
Users that are interested in spartan2 are comparing it to the libraries listed below
Sorting:
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆302Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆196Updated last year
- (WWW 2021) Source code of PC-GNN☆107Updated 4 years ago
- ☆341Updated last year
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆456Updated 2 years ago
- ☆59Updated 6 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆326Updated 2 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆381Updated 2 years ago
- 用于图异常检测的数据集☆45Updated 6 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆132Updated 4 years ago
- code of HetGNN☆412Updated 5 years ago
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆432Updated 5 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆53Updated 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
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆136Updated 3 years ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆553Updated 4 months ago
- Bag of Tricks for Graph Neural Networks.☆299Updated last year
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆79Updated 7 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 5 years ago
- Representation-Learning-on-Heterogeneous-Graph☆444Updated 5 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- ☆67Updated 4 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆338Updated 2 years ago
- Implementation of "Overlapping Community Detection with Graph Neural Networks"☆174Updated 5 years ago
- Representation learning on dynamic graphs using self-attention networks☆307Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157Updated last year
- A Deep Graph-based Toolbox for Fraud Detection☆747Updated 3 years ago
- 读过的一些论文，给自己一个总结和交代吧☆18Updated last year