CapsGNN

Graph neural network

A PyTorch implementation of a graph neural network architecture

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

GitHub

1k stars
29 watching
198 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists

capsgnncapsule-networkcapsule-neural-networksconvolutiondeep-learningdeepwalkgnngraph-attention-modelgraph-attention-networksgraph-classificationgraph-convolutiongraph-neural-networkmachine-learningnode2vecpytorchresearchsklearnstruc2vectensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
benedekrozemberczki/clustergcn A PyTorch implementation of a clustering algorithm for graph neural networks 787
benedekrozemberczki/pdn An implementation of a neural network architecture designed to process graph-structured data 57
benedekrozemberczki/seal-ci A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. 208
benedekrozemberczki/graphwaveletneuralnetwork An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. 574
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 402
benedekrozemberczki/simgnn An implementation of SimGNN, a neural network approach to computing graph similarity 759
benedekrozemberczki/pytorch_geometric_temporal A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models 2,677
adambielski/capsnet-pytorch An implementation of a deep learning model for image classification using capsule networks with dynamic routing. 489
dawnranger/pytorch-agnn An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning 145
chingyaoc/ggnn.pytorch An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. 465
benedekrozemberczki/gam An implementation of a graph classification model using structural attention and PyTorch 268
benedekrozemberczki/splitter A PyTorch implementation of node representation learning using multiple social contexts 213
mengcz13/kdd2021_cnfgnn An implementation of a federated graph neural network for spatio-temporal modeling 65