[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
☆61Nov 22, 2024Updated last year
Alternatives and similar repositories for GAD-NR
Users that are interested in GAD-NR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Jun 3, 2022Updated 4 years ago
- ☆19Apr 29, 2023Updated 3 years ago
- ☆32Aug 7, 2023Updated 3 years ago
- ☆38Jul 2, 2022Updated 4 years ago
- [KDD 2023] Group-based Fraud Detection Network on e-Commerce Platforms☆16Feb 16, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Oct 13, 2022Updated 3 years ago
- ☆25Mar 15, 2024Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆206Jun 25, 2024Updated 2 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆11Oct 18, 2022Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆52Dec 23, 2023Updated 2 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆33May 14, 2025Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆149Jun 25, 2024Updated 2 years ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆13May 9, 2024Updated 2 years ago
- Data repository for PyGOD☆51Jan 31, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Reconsidering the Performance of GAE in Link Prediction☆17Jan 12, 2026Updated 6 months ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Jun 2, 2023Updated 3 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆36Dec 12, 2021Updated 4 years ago