dgl topic

Repository for benchmarking graph neural networks

graphdeeplearning

Protein Graph Library

a-r-j

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

awslabs

Visualization tool for Graph Neural Networks

dmlc

Python package for graph neural networks in chemistry and biology

awslabs

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...

awslabs

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

EdisonLeeeee

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

lukecavabarrett

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

BUPT-GAMMA

A knowledge graph and a set of tools for drug repurposing

gnn4dr