PDN

Graph processor

An implementation of a neural network architecture designed to process graph-structured data

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

GitHub

57 stars
2 watching
11 forks
Language: Python
last commit: almost 2 years ago
bertcheminformaticsdata-sciencedeep-learningdeepwalkgcngnngpt-3graph-classificationgraph-neural-networkgraph2vecmessage-passingmoleculesmultiplexnetwork-scienceneural-message-passingnode-classificationpathfinderpytorchtransformer

Related projects:

Repository Description Stars
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
benedekrozemberczki/graphwaveletneuralnetwork An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. 574
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
benedekrozemberczki/capsgnn A PyTorch implementation of a graph neural network architecture 1,246
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/gam An implementation of a graph classification model using structural attention and PyTorch 268
benedekrozemberczki/clustergcn A PyTorch implementation of a clustering algorithm for graph neural networks 787
benedekrozemberczki/simgnn An implementation of SimGNN, a neural network approach to computing graph similarity 759
benedekrozemberczki/splitter A PyTorch implementation of node representation learning using multiple social contexts 213
benedekrozemberczki/attentionwalk An implementation of a deep learning algorithm to generate node embeddings in graphs 320
benedekrozemberczki/walklets An implementation of an algorithm for learning graph representations from network data 105
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 402
benedekrozemberczki/pytorch_geometric_temporal A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models 2,669
dawnranger/pytorch-agnn An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning 145
benedekrozemberczki/tene A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. 73