role2vec

Graph embedding algorithm

An implementation of a deep learning-based method for creating vector representations of nodes in a graph

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

GitHub

166 stars
12 watching
32 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list

deep-learningdeepwalkgensimgraph-embeddinggraph-neural-networkgraph-waveletimplicit-factorizationmachine-learningnetwork-embeddingnetwork-sciencenode-embeddingnode2vecpytorchrepresentation-learningresearchsklearnstruc2vectensorflowweisfeiler-lehmanword2vec

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
benedekrozemberczki/grarep An implementation of a method for learning graph representations from global structural information in a network 63
benedekrozemberczki/attentionwalk An implementation of a deep learning algorithm to generate node embeddings in graphs 320
benedekrozemberczki/diff2vec A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. 126
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/gemsec A reference implementation of graph embedding with clustering using deep learning techniques 252
benedekrozemberczki/feather A reference implementation of a method for learning graph node embeddings from graph structure and node features 45
benedekrozemberczki/bane A software implementation of a graph embedding algorithm 86
benedekrozemberczki/walklets An implementation of an algorithm for learning graph representations from network data 105
benedekrozemberczki/musae Implementation of a method for generating node embeddings in graph data with attributed information 159
benedekrozemberczki/sine An implementation of a scalable method for learning node representations in complex networks 72
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
snash4/gat2vec A framework for learning representations from attributed graphs, incorporating structural and attribute information. 58
benedekrozemberczki/boostedfactorization An implementation of multi-level network embedding with boosted low-rank matrix approximation 35
benedekrozemberczki/asne A software implementation of a method to reduce the dimensionality of attributed graphs 82