WholeGraph

WholeGraph is developed to help train large-scale Graph Neural Networks(GNN). WholeGraph provides underlying storage structure called WholeMemory. WholeMemory is a Tensor like storage and provide multi-GPU support. It is optimized for NVLink systems like DGX A100 servers. By working together with cuGraph, cuGraph-Ops, cuGraph-DGL, cuGraph-PyG, and upstream DGL and PyG, it will be easy to build GNN applications.

Table of content

Installation
- Getting WholeGraph Packages
- Building from Source
General
- WholeGraph Introduction
Packages
- libwholegraph (C/CUDA)
- pylibwholegraph
API Docs
- Python
- C
Reference
- RAPIDS
- cuGraph

About

WholeGraph - large scale Graph Neutral Networks

https://docs.rapids.ai/api/cugraph/stable/wholegraph/

Apache License 2.0

Languages

Language:Cuda 41.1%Language:C++ 31.1%Language:Python 15.1%Language:Cython 5.1%Language:C 4.2%Language:CMake 1.8%Language:Shell 1.4%Language:HTML 0.1%Language:Dockerfile 0.0%