TigerGraph-DevLabs / mlworkbench-docs
Documentations for the ml workbench
☆10Updated last year
Alternatives and similar repositories for mlworkbench-docs:
Users that are interested in mlworkbench-docs are comparing it to the libraries listed below
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated last year
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆89Updated 9 months ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆45Updated 6 months ago
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆35Updated 2 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆131Updated 3 years ago
- Paper collection for graph based models in finance application☆103Updated 4 years ago
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆46Updated 3 months ago
- Visualization tool for Graph Neural Networks☆250Updated 2 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- GNN implementations with PyG☆18Updated 5 months ago
- ☆134Updated last year
- Load MovieLens dataset into Neo4j☆11Updated 6 years ago
- GraphRAG on Neo4j by finetuning GNN+LLM☆25Updated last month
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆57Updated last week
- TGB baselines for dynamic link property prediction☆21Updated 3 months ago
- ☆10Updated last year
- pyTigerGraph is a Python package for interacting with TigerGraph databases.☆54Updated 2 years ago
- Temporal Graph Benchmark project repo☆217Updated last week
- ☆46Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆238Updated last year
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆95Updated last year
- ☆207Updated last year
- Code behind blog post deploying Graph Neural Networks (GNNs) for Monitoring Supply Chain Risk☆23Updated 2 years ago
- Dynamic Graph Benchmark☆79Updated 2 years ago
- Traffic accident prediction using graph neural networks☆47Updated 6 months ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆57Updated 5 months ago
- [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network☆38Updated 7 months ago
- ☆67Updated last year
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆13Updated last year
- ☆319Updated 9 months ago