Charlesvandamme / Inductive-Graph-Representation-Learning-for-Fraud-Detection
This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detection
☆32Updated last year
Alternatives and similar repositories for Inductive-Graph-Representation-Learning-for-Fraud-Detection:
Users that are interested in Inductive-Graph-Representation-Learning-for-Fraud-Detection are comparing it to the libraries listed below
- (WWW 2021) Source code of PC-GNN☆100Updated 3 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆129Updated 2 years ago
- ☆66Updated last year
- ☆77Updated 2 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆40Updated last year
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆73Updated 4 months ago
- Data repository for PyGOD☆41Updated 11 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆256Updated 2 years ago
- Paper collection for graph based models in finance application☆100Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆86Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆52Updated 2 months ago
- Fraud detection in bank transactions using graph databases and machine learning.☆20Updated 4 years ago
- ☆24Updated 2 years ago
- The official implementation of the DGA-GNN algorithm.☆23Updated 6 months ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆79Updated 6 months ago
- ☆29Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆116Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆89Updated 9 months ago
- ☆57Updated 4 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆54Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆177Updated 7 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆41Updated 2 months ago
- ☆31Updated 2 years ago
- ☆37Updated 2 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆37Updated 3 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆45Updated last year
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆38Updated 3 years ago
- ☆131Updated last year
- Multi-GNN architectures for Anti-Money Laundering.☆62Updated 11 months ago
- ☆51Updated 3 years ago