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graphdeeplearning /benchmarking-gnns

Repository for benchmarking graph neural networks (JMLR 2023)

deep-learning pytorch benchmark-framework graph-neural-networks graph-representation-learning dgl graph-deep-learning

UpdatedJun 22, 2023
Jupyter Notebook

awslabs /dgl-ke

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

machine-learning knowledge-graph knowledge-graphs-embeddings graph-learning dgl

UpdatedNov 6, 2023
Python

graphein

a-r-j /graphein

Protein Graph Library

python bioinformatics deep-learning structural-biology protein-data-bank protein-structure computational-biology pytorch protein drug-discovery rna interactome protein-design interactomics geometric-deep-learning ppi-networks graph-neural-networks pytorch-geometric gene-regulatory-networks dgl

UpdatedMar 3, 2025
Jupyter Notebook

BUPT-GAMMA /OpenHGNN

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

pytorch heterogeneous graph-neural-networks dgl

UpdatedJan 24, 2025
Python

awslabs /dgl-lifesci

Python package for graph neural networks in chemistry and biology

bioinformatics deep-learning cheminformatics molecule drug-discovery geometric-deep-learning graph-neural-networks dgl

UpdatedNov 1, 2023
Python

DRKG

gnn4dr /DRKG

A knowledge graph and a set of tools for drug repurposing

knowledge-graph drug-repurposing knowledge-graph-embeddings graph-neural-networks dgl dgl-ke

UpdatedApr 19, 2022
Jupyter Notebook

EdisonLeeeee /GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks

graph models pytorch adversarial-machine-learning pyg geometric-deep-learning graph-neural-networks dgl graphgallery

UpdatedAug 14, 2023
Python

lukecavabarrett /pna

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

pytorch graph-machine-learning graph-neural-networks pytorch-geometric dgl

UpdatedAug 7, 2022
Python

sangyx /gtrick

Bag of Tricks for Graph Neural Networks.

graph-neural-networks dgl torch-geometric

UpdatedJul 19, 2024
Jupyter Notebook

dmlc /GNNLens2

Visualization tool for Graph Neural Networks

visualization deep-learning pytorch graph-visualization xai graph-neural-networks graph-representation-learning explainability dgl

UpdatedSep 20, 2022
TypeScript

awslabs /realtime-fraud-detection-with-gnn-on-dgl

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 tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

aws neptune documentdb graph-database fraud-detection sagemaker appsync aws-cdk gnn amplify-js dgl

UpdatedMar 31, 2024
TypeScript

IntelLabs /matsciml

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 Lightning, the Deep Graph Library, and PyTorch Geometric.

ai pytorch pytorch-lightning dgl

UpdatedMar 18, 2025
Python

DreamInvoker /GAIN

Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

natural-language-processing relation-extraction graph-neural-networks dgl document-level-relation-extraction

UpdatedNov 24, 2020
Python

Saro00 /DGN

Implementation of Directional Graph Networks in PyTorch and DGL

pytorch graph-machine-learning spectral-methods graph-neural-networks dgl

UpdatedApr 4, 2021
Python

taishan1994 /DGL_Chinese_Manual

DGL中文文档。This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

deep-learning gcn dgl dgl-neural-networks

UpdatedFeb 16, 2022

acbull /HGT-DGL

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

heterogeneous-network network-embedding graph-neural-networks dgl

UpdatedAug 17, 2022
Python

shionhonda /gae-dgl

Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

python deep-learning pytorch graph-convolutional-networks graph-neural-networks deep-graph-library dgl

UpdatedJan 31, 2023
Python

K-Wu /pytorch-direct_dgl

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)

deep-learning gpu cuda pytorch vldb gnn dgl

UpdatedJul 1, 2023

nhtsai /graph-rec

Senior Capstone Project: Graph-Based Product Recommendation

deep-learning recommender-system graphsage graph-neural-networks dgl amazon-product-reviews graph-data-analysis pinsage

UpdatedMar 15, 2021
Jupyter Notebook

waittim /graph-fraud-detection

Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.

colab fraud-detection graph-neural-networks pytorch-implementation dgl

UpdatedMay 29, 2021
Jupyter Notebook

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