THUDM / GraphCADLinks
TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
☆31Updated 2 years ago
Alternatives and similar repositories for GraphCAD
Users that are interested in GraphCAD are comparing it to the libraries listed below
Sorting:
- ☆35Updated 3 years ago
- ☆31Updated 3 years ago
- ☆18Updated 2 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- ☆38Updated 3 years ago
- ☆38Updated 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
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- ☆49Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 3 years ago
- Deep Graph Outlier Detection☆66Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- ☆46Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆132Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- ☆47Updated 3 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- ☆26Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated 2 years ago