Graph engine - distributed graph engine to host graphs.

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Project description

DeepGNN Overview

DeepGNN is a framework for training machine learning models on large scale graph data. DeepGNN contains all the necessary features including:

Distributed GNN training and inferencing on both CPU and GPU.
Custom graph neural network design.
Online Sampling: Graph Engine (GE) will load all graph data, each training worker will call GE to get node/edge/neighbor features and labels.
Automatic graph partitioning.
Highly performant and scalable.

Project is in alpha version, there might be breaking changes in the future and they will be documented in the changelog.

Usage

Install pip package:

python -m pip install deepgnn-torch

If you want to build package from source, see instructions in CONTRIBUTING.md.

Train and evaluate a graphsage model with pytorch on cora dataset:

cd examples/pytorch/graphsage
./run.sh

Training other models

Examples folder contains various models one can experiment with DeepGNN. To train models with Tensorflow you need to install deepgnn-tf package, deepgnn-torch package contains packages to train pytorch examples. Each model folder contains a shell script run.sh that will train a corresponding model on a toy graph, a README.md file with a short description of a model, reference to original paper, and explanation of command line arguments.

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Release history Release notifications | RSS feed

0.1.65

Nov 19, 2024

0.1.64

Aug 13, 2024

0.1.63

May 10, 2024

0.1.62

Jan 19, 2024

0.1.62.dev1 pre-release

Oct 26, 2023

0.1.61

Oct 12, 2023

0.1.60

Apr 18, 2023

0.1.60.dev1 pre-release

Apr 5, 2023

0.1.59

Mar 30, 2023

0.1.59.dev4 pre-release

Mar 11, 2023

0.1.59.dev3 pre-release

Mar 8, 2023

0.1.59.dev2 pre-release

Mar 3, 2023

0.1.59.dev1 pre-release

Mar 1, 2023

0.1.58

Feb 16, 2023

0.1.58.dev5 pre-release

Feb 8, 2023

0.1.58.dev4 pre-release

Jan 31, 2023

0.1.58.dev3 pre-release

Jan 31, 2023

0.1.58.dev2 pre-release

Jan 27, 2023

0.1.58.dev1 pre-release

Jan 12, 2023

0.1.57

Dec 15, 2022

0.1.56

Nov 2, 2022

0.1.55.1

Aug 30, 2022

0.1.55

Aug 26, 2022

0.1.55.dev1 pre-release

Aug 8, 2022

0.1.54

Aug 4, 2022

0.1.53

Aug 3, 2022

0.1.52

Jul 27, 2022

This version

0.1.51

May 3, 2022

0.1.50

Apr 26, 2022

0.1.49

Apr 22, 2022

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