GraRep

Graph embedding method

An implementation of a method for learning graph representations from global structural information in a network

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

GitHub

64 stars
7 watching
25 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list

aaneasnedeep-learningdeepwalkembeddinggensimgraph-embeddinggraph2vecgrarepmatrix-factorizationnetwork-embeddingnmfnode-embeddingnode2vecrole2vecsingular-value-decompositionsvdtadwwalkletsword2vec

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
benedekrozemberczki/role2vecAn implementation of a deep learning-based method for creating vector representations of nodes in a graph167
benedekrozemberczki/attentionwalkAn implementation of a deep learning algorithm to generate node embeddings in graphs322
benedekrozemberczki/teneA sparsity-aware implementation of a deep learning algorithm for graph embedding with text information.74
benedekrozemberczki/featherA reference implementation of a method for learning graph node embeddings from graph structure and node features47
benedekrozemberczki/baneA software implementation of a graph embedding algorithm87
benedekrozemberczki/musaeImplementation of a method for generating node embeddings in graph data with attributed information160
benedekrozemberczki/gemsecA reference implementation of graph embedding with clustering using deep learning techniques253
benedekrozemberczki/walkletsAn implementation of an algorithm for learning graph representations from network data106
benedekrozemberczki/sineAn implementation of a scalable method for learning node representations in complex networks72
benedekrozemberczki/graph2vecThis implementation provides a parallel method for graph representations using distributed learning techniques.908
benedekrozemberczki/sgcnAn implementation of a deep learning algorithm for graph data270
benedekrozemberczki/diff2vecA reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data.128
benedekrozemberczki/boostedfactorizationAn implementation of multi-level network embedding with boosted low-rank matrix approximation36
benedekrozemberczki/asneA software implementation of a method to reduce the dimensionality of attributed graphs83
benedekrozemberczki/gamAn implementation of a graph classification model using structural attention and PyTorch270