dgl

Graph DL framework

A Python package for building deep learning models on graph data structures

Python package built to ease deep learning on graph, on top of existing DL frameworks.

GitHub

14k stars
177 watching
3k forks
Language: Python
last commit: 3 months ago
Linked from 2 awesome lists

deep-learninggraph-neural-networks

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
graphdeeplearning/benchmarking-gnns A collection of datasets and tools for evaluating graph neural networks 2,537
google-deepmind/graph_nets Builds graph networks in TensorFlow using a library provided by DeepMind's AI research organization. 5,370
pyg-team/pytorch_geometric A PyTorch-based library for training and applying Graph Neural Networks to structured data 21,597
awslabs/dgl-lifesci A Python package for applying deep learning on graphs to various life science applications. 734
tensorflow/gnn Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. 1,372
dmlc/gnnlens2 An interactive visualization tool for graph neural networks 242
autogluon/autogluon Automates machine learning tasks to train accurate models in just a few lines of code 8,167
stellargraph/stellargraph A machine learning library for graph data 2,957
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 403
deepgraphlearning/gmnn A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. 403
graph4ai/graph4nlp A Python library that enables the use of Graph Neural Networks for Natural Language Processing tasks. 1,676
danielegrattarola/spektral A Python library for building graph neural networks with Keras and TensorFlow 2. 2,372
dsgiitr/d2l-pytorch An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch 4,256
thumnlab/autogl An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. 1,094
awslabs/dgl-ke A package for learning large-scale knowledge graph embeddings with high performance and scalability 1,277