[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
☆103May 12, 2021Updated 4 years ago
Alternatives and similar repositories for CoLA
Users that are interested in CoLA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆49Oct 8, 2021Updated 4 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆50Sep 9, 2021Updated 4 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Oct 13, 2022Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆79Sep 13, 2021Updated 4 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆15Mar 2, 2023Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆66Dec 1, 2023Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆134Dec 25, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆200Jun 25, 2024Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆384Jul 10, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,485Nov 14, 2024Updated last year
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆30May 14, 2025Updated 10 months ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆135Sep 13, 2021Updated 4 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Jun 2, 2023Updated 2 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆45Dec 10, 2022Updated 3 years ago
- ☆12Jan 10, 2023Updated 3 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 2 years ago
- ☆17Oct 14, 2022Updated 3 years ago
- Data repository for PyGOD☆49Jan 31, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆38May 17, 2022Updated 3 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Feb 26, 2024Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆31Jul 18, 2024Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44May 24, 2023Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆63Aug 13, 2025Updated 7 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆144Nov 30, 2022Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- The code of Addgraph frame.☆23Sep 29, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Oct 18, 2022Updated 3 years ago
- AnomalyDAE (ICASSP2020)☆52Apr 17, 2020Updated 5 years ago
- This repository summarises the open source codes of our group☆27Nov 3, 2022Updated 3 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Oct 2, 2022Updated 3 years ago
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆307Oct 11, 2022Updated 3 years ago