Charlesvandamme / Inductive-Graph-Representation-Learning-for-Fraud-DetectionLinks
This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detection
☆34Updated 2 years ago
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
Sorting:
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆289Updated 3 years ago
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- ☆71Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated last year
- ☆75Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆188Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆43Updated 2 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆40Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆373Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆58Updated 11 months ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆104Updated 3 months ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- ☆138Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆129Updated last year
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- Paper collection for graph based models in finance application☆112Updated 4 years ago
- ☆28Updated last year
- A collection of graph data used for semi-supervised node classification.☆40Updated 3 years ago
- Data repository for PyGOD☆44Updated last year
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- A repository for financial fraud detection☆294Updated 4 months ago
- ☆31Updated 2 years ago
- ☆38Updated 3 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated 2 years ago
- ☆63Updated 4 years ago
- ☆331Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago