Kinseys / anomoly_detection_cogdl
cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets
☆13Updated 2 years ago
Alternatives and similar repositories for anomoly_detection_cogdl:
Users that are interested in anomoly_detection_cogdl are comparing it to the libraries listed below
- ☆29Updated 2 years ago
- ☆18Updated last year
- ☆32Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆45Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆47Updated 3 years ago
- ☆37Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆51Updated last year
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆31Updated 2 years ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆20Updated 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☆45Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 2 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆88Updated 3 years ago
- ☆21Updated 11 months ago
- ☆11Updated last year
- ☆37Updated 2 years ago
- ☆29Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆27Updated 8 months ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆106Updated 7 months ago
- The official implementation of the DGA-GNN algorithm.☆23Updated 6 months ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- codes of LEGNN for Semi-supervised Node Classification☆12Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- KDD'22☆59Updated 2 years ago