graph2vec

Graph representation tool

This implementation provides a parallel method for graph representations using distributed learning techniques.

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

GitHub

908 stars
20 watching
169 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list

deepwalkdiff2vecgemsecgraph-embeddinggraph-kernelgraph-waveletgraph2vecimplicit-matrix-factorizationkernelmachine-learningmatrix-factorizationnode-embeddingnode2vecnoise-contrastive-estimationstruc2vecsubgraph2vectransformerunsupervised-learningweisfeiler-lehmanword2vec

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/diff2vecA reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data.128
benedekrozemberczki/walkletsAn implementation of an algorithm for learning graph representations from network data106
benedekrozemberczki/gemsecA reference implementation of graph embedding with clustering using deep learning techniques253
benedekrozemberczki/grarepAn implementation of a method for learning graph representations from global structural information in a network64
benedekrozemberczki/baneA software implementation of a graph embedding algorithm87
benedekrozemberczki/seal-ciA PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data.209
benedekrozemberczki/asneA software implementation of a method to reduce the dimensionality of attributed graphs83
benedekrozemberczki/teneA sparsity-aware implementation of a deep learning algorithm for graph embedding with text information.74
benedekrozemberczki/sgcnAn implementation of a deep learning algorithm for graph data270
snash4/gat2vecA framework for learning representations from attributed graphs, incorporating structural and attribute information.59
benedekrozemberczki/attentionwalkAn implementation of a deep learning algorithm to generate node embeddings in graphs322
benedekrozemberczki/splitterA PyTorch implementation of node representation learning using multiple social contexts213
benedekrozemberczki/clustergcnA PyTorch implementation of a clustering algorithm for graph neural networks788
benedekrozemberczki/gamAn implementation of a graph classification model using structural attention and PyTorch270