bdi-lab / DRAGLinks
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
☆27Updated last year
Alternatives and similar repositories for DRAG
Users that are interested in DRAG are comparing it to the libraries listed below
Sorting:
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors (AAA…☆17Updated 3 weeks ago
- ☆31Updated 3 years ago
- Knowledge Graph Embedding via Metagraph Learning (SIGIR 2021)☆24Updated 5 months ago
- ☆23Updated last year
- Data repository for PyGOD☆44Updated last year
- ☆14Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆130Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆134Updated last year
- ☆13Updated 8 months ago
- ☆31Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆51Updated 11 months ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆50Updated last year
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- ☆18Updated last year
- PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning (ICML 2024)☆18Updated 5 months ago
- ☆18Updated 2 years ago
- Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)☆30Updated 5 months ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- ☆17Updated 4 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 6 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆61Updated 3 months ago
- The official implementation of the DGA-GNN algorithm.☆28Updated last year
- ☆63Updated 4 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 4 years ago
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- ☆38Updated 3 years ago
- This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Ne…☆13Updated 2 years ago
- ☆35Updated 3 years ago