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Repository for benchmarking graph neural networks
Created
2020-03-03
45 commits to master branch, last one 2 years ago
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Created
2020-03-03
239 commits to master branch, last one about a year ago
Protein Graph Library
Created
2019-08-28
807 commits to master branch, last one about a month ago
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Created
2021-01-26
926 commits to main branch, last one 14 days ago
Python package for graph neural networks in chemistry and biology
Created
2020-04-23
236 commits to master branch, last one about a year ago
A knowledge graph and a set of tools for drug repurposing
Created
2020-04-09
80 commits to master branch, last one 2 years ago
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Created
2020-03-10
799 commits to master branch, last one about a year ago
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Created
2020-04-01
82 commits to master branch, last one 2 years ago
Bag of Tricks for Graph Neural Networks.
Created
2022-01-11
50 commits to main branch, last one 5 months ago
Visualization tool for Graph Neural Networks
Created
2021-08-30
36 commits to main branch, last one 2 years ago
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from...
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Created
2021-03-11
231 commits to main branch, last one about a year ago
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightn...
Created
2022-09-13
2,822 commits to main branch, last one a day ago
Implementation of Directional Graph Networks in PyTorch and DGL
Created
2020-09-29
57 commits to master branch, last one 3 years ago
DGL中文文档。This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.
Created
2020-08-30
15 commits to master branch, last one 2 years ago
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
Created
2020-06-28
15 commits to master branch, last one 2 years ago
Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
Created
2019-05-22
27 commits to master branch, last one 5 years ago
PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
Created
2021-04-11
24 commits to master branch, last one about a year ago
Senior Capstone Project: Graph-Based Product Recommendation
Created
2021-01-19
104 commits to main branch, last one 3 years ago
Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
Created
2021-04-13
30 commits to main branch, last one 3 years ago
NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)
Created
2022-07-11
33 commits to main branch, last one 9 months ago
2021MXAP-DGL rank2
Created
2021-12-25
141 commits to submit branch, last one 2 years ago
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
Created
2021-04-29
72 commits to main branch, last one 3 years ago
An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGraph Database and DGL.
Created
2022-08-01
17 commits to main branch, last one 2 years ago
This Repository includes DGL tutorials and various information related to graph neural networks.
Created
2022-06-17
346 commits to main branch, last one about a year ago