bdi-lab / DRAGLinks
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
☆25Updated 10 months ago
Alternatives and similar repositories for DRAG
Users that are interested in DRAG are comparing it to the libraries listed below
Sorting:
- Knowledge Graph Embedding via Metagraph Learning (SIGIR 2021)☆22Updated 3 months ago
- ☆31Updated 3 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆26Updated 3 years ago
- ☆30Updated 2 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- Data repository for PyGOD☆43Updated last year
- PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning (ICML 2024)☆17Updated 3 months ago
- ☆14Updated 2 years ago
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors (AAA…☆14Updated 5 months ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆132Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆17Updated 2 months ago
- ☆23Updated last year
- ☆18Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆49Updated 9 months ago
- Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)☆28Updated 3 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 4 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 10 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆77Updated 4 months ago
- ☆116Updated last year
- ☆35Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- Code for OGC and GGCM☆14Updated last year
- ☆38Updated 3 years ago