Splitter

Node learner

A PyTorch implementation of node representation learning using multiple social contexts

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

GitHub

213 stars
11 watching
44 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists

clusteringcommunity-detectiondeep-learningdeep-neural-networkdeepwalkego-splittingfactorizationgensimgraph-embeddinggraph-neural-networkgraph-representation-learningimplicit-factorizationmachine-learningnetwork-embeddingnode-embeddingnode2vecoverlapping-community-detectionpytorchword-vectorword2vec

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/seal-ci A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. 208
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
benedekrozemberczki/pdn An implementation of a neural network architecture designed to process graph-structured data 57
benedekrozemberczki/capsgnn A PyTorch implementation of a graph neural network architecture 1,246
benedekrozemberczki/diff2vec A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. 126
benedekrozemberczki/gam An implementation of a graph classification model using structural attention and PyTorch 268
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
benedekrozemberczki/gemsec A reference implementation of graph embedding with clustering using deep learning techniques 252
benedekrozemberczki/tene A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. 73
benedekrozemberczki/graph2vec This implementation provides a parallel method for graph representations using distributed learning techniques. 902
benedekrozemberczki/karateclub A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques 2,167
benedekrozemberczki/musae Implementation of a method for generating node embeddings in graph data with attributed information 159
benedekrozemberczki/bane A software implementation of a graph embedding algorithm 86
benedekrozemberczki/danmf An implementation of a deep learning-based method for community detection in networks 202