dgl

#计算机科学#Repository for benchmarking graph neural networks (JMLR 2023)

#计算机科学#High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

#计算机科学#Protein Graph Library

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

#计算机科学#Python package for graph neural networks in chemistry and biology

A knowledge graph and a set of tools for drug repurposing

GraphGallery is a gallery for benchmarking Graph Neural Networks

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

Bag of Tricks for Graph Neural Networks.

#计算机科学#Visualization tool for Graph Neural Networks

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...

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...

#自然语言处理#Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

Implementation of Directional Graph Networks in PyTorch and DGL

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

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

#计算机科学#Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

#计算机科学#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)

#计算机科学#Senior Capstone Project: Graph-Based Product Recommendation

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