diff2vec
Node embedding algorithm
A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data.
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
126 stars
6 watching
20 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
complex-networksdeep-learningdeepwalkdiff2vecdiffusionembeddingembeddingsfactorizationgensimgraph-embeddingimplicit-factorizationmachine-learningnetwork-embeddingneural-networknode-embeddingnode2vecsemisupervised-learningstruc2vectensorflowunsupervised-learning
Related projects:
Repository | Description | Stars |
---|---|---|
benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 166 |
benedekrozemberczki/graph2vec | This implementation provides a parallel method for graph representations using distributed learning techniques. | 902 |
benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 86 |
benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 159 |
benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 252 |
benedekrozemberczki/boostedfactorization | An implementation of multi-level network embedding with boosted low-rank matrix approximation | 35 |
benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 320 |
benedekrozemberczki/grarep | An implementation of a method for learning graph representations from global structural information in a network | 63 |
benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
benedekrozemberczki/m-nmf | An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 120 |
benedekrozemberczki/feather | A reference implementation of a method for learning graph node embeddings from graph structure and node features | 45 |
benedekrozemberczki/walklets | An implementation of an algorithm for learning graph representations from network data | 105 |
benedekrozemberczki/asne | A software implementation of a method to reduce the dimensionality of attributed graphs | 82 |