MGrin / transactions-graph-generatorLinks
Generator for graph of transactions. Is kind of optimized for large graph generations. Contains graph structure generation, nodes information generation (client names, phone numbers, etc...), patterns generation
☆30Updated 2 years ago
Alternatives and similar repositories for transactions-graph-generator
Users that are interested in transactions-graph-generator are comparing it to the libraries listed below
Sorting:
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 6 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆34Updated 2 years ago
- Jupyter notebooks showing how to use Neo4j Graph Algorithms☆52Updated 5 years ago
- A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…☆125Updated 3 years ago
- Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data☆46Updated 6 years ago
- Learning from graph data using Keras☆64Updated 6 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- Node Embeddings in Dynamic Graphs☆57Updated 3 years ago
- ☆10Updated 3 years ago
- Using Twitter Ego Network Analysis to Detect Sources of Fake News☆50Updated 6 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆135Updated 3 years ago
- A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).☆167Updated 3 years ago
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆15Updated 2 years ago
- Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)☆88Updated last year
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆133Updated 3 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 3 years ago
- A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).☆84Updated 2 years ago
- GraphOfDocs: Representing multiple documents as a single graph☆20Updated 3 years ago
- ☆23Updated 2 years ago
- ☆10Updated 3 years ago
- Learn Node Embeddings from DeepWalk☆67Updated 6 years ago
- Anomaly detection algorithm for social networks using Graph Neural Networks by leveraging graph parameteres, between centrality, degree, …☆12Updated 6 years ago
- Learning node representation using edge semantics☆54Updated 6 years ago
- ☆72Updated 2 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- ☆30Updated 4 years ago
- ☆18Updated 4 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆48Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- NetworkX API for Neo4j Graph Algorithms.☆132Updated 5 years ago