AdaGCN

benedekrozemberczki/appnp367

Graph Neural Network Model

A PyTorch implementation of a graph neural network model that learns personalized node representations

liqimai/gcn45

Graph neural network library

An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.

benedekrozemberczki/sgcn270

Graph algorithm

An implementation of a deep learning algorithm for graph data

tensorflow/gnn1.4K

Graph Network Library

Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.

snap-stanford/graphgym1.7K

Graph model simulator

A platform for designing and evaluating Graph Neural Networks (GNN) models

benedekrozemberczki/mixhop-and-n-gcn403

Graph CNN

A deep learning framework implementation of higher-order graph convolutional architectures and their applications

deepgraphlearning/gmnn403

Graph learning framework

A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning.

benedekrozemberczki/capsgnn1.2K

Graph neural network

A PyTorch implementation of a graph neural network architecture

hongyanggao/lgcn46

Graph processor

An implementation of learnable graph convolutional networks for efficient graph processing

dawnranger/pytorch-agnn146

Graph Neural Network

An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning

delta2323/gb-gnn13

Graph Neural Network Optimizer

Analyzes and optimizes the performance of graph neural networks using gradient boosting and various aggregation models.

google-deepmind/jraph1.4K

Graph library

A lightweight library for working with graph neural networks in jax.

bupt-gamma/openhgnn879

Graph Neural Network Toolkit

An open-source toolkit for training and applying heterogeneous graph neural networks using PyTorch and the Deep Graph Library.

benedekrozemberczki/simgnn768

Graph simulator

An implementation of SimGNN, a neural network approach to computing graph similarity

muhanzhang/dgcnn174

Graph classifier

A deep learning architecture for graph classification that extracts vertex features through propagation-based graph convolution and retains more node information than traditional sum pooling methods.