SGCN

Graph algorithm

An implementation of a deep learning algorithm for graph data

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

GitHub

268 stars
12 watching
58 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists

deep-learningdeepwalkgcngpt2gpt3graph-attentiongraph-convolutiongraph-embeddinggraph-neural-networksgraphsagemachine-learningnetwork-embeddingneural-networknode-classificationnode2vecpytorchpytorch-geometricsgcnsigned-networktransformer

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
benedekrozemberczki/clustergcn A PyTorch implementation of a clustering algorithm for graph neural networks 787
benedekrozemberczki/capsgnn A PyTorch implementation of a graph neural network architecture 1,246
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
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/gam An implementation of a graph classification model using structural attention and PyTorch 268
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/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/pytorch_geometric_temporal A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models 2,669
hongyanggao/lgcn An implementation of learnable graph convolutional networks for efficient graph processing 46
benedekrozemberczki/role2vec An implementation of a deep learning-based method for creating vector representations of nodes in a graph 166
benedekrozemberczki/grarep An implementation of a method for learning graph representations from global structural information in a network 63