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:
- Knowledge Graph Embedding via Metagraph Learning (SIGIR 2021)☆24Updated 7 months ago
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors (AAA…☆17Updated 2 months ago
- ☆31Updated 3 years ago
- Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)☆30Updated 7 months ago
- PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning (ICML 2024)☆18Updated 7 months ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 4 years ago
- ☆24Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- ☆31Updated 2 years ago
- (WWW 2021) Source code of PC-GNN☆107Updated 4 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆137Updated last year
- ☆19Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆53Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆53Updated last year
- ☆18Updated last year
- ☆14Updated 2 years ago
- ☆37Updated 3 years ago
- ☆17Updated 6 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆134Updated 2 years ago
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆37Updated 3 years ago
- Data repository for PyGOD☆47Updated last year
- This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]☆15Updated last year
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆65Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆86Updated 8 months ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆62Updated 5 months ago
- ☆38Updated 4 years ago