squareRoot3 / GADBenchLinks
"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
☆128Updated last year
Alternatives and similar repositories for GADBench
Users that are interested in GADBench are comparing it to the libraries listed below
Sorting:
- Data repository for PyGOD☆43Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- ☆38Updated 3 years ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆54Updated last month
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆29Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆181Updated last year
- ☆23Updated last year
- 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
- ☆31Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- ☆49Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆144Updated 4 months ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆91Updated last month
- The official implementation of the DGA-GNN algorithm.☆27Updated 11 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆253Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- ☆11Updated 4 months ago
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources …☆119Updated last week
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆200Updated 3 weeks ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- ☆57Updated 8 months ago