Learn Node Embeddings from DeepWalk
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
weighted random walk implementation for deepwalk (in python)
Implementation and experiments of graph embedding algorithms.
将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk
graph embedding spark implementation, include deepWalk, Node2Vec etc
DeepWalk, build a graph and to get the nodes' vector
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
采用深度学习的图表征学习,包括Deepwalk\line\node2vec\sdne\struc2vec等—截止20190815