A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
This repository provides a reference implementation of node2vec as described in the paper:
This folder contains the code for GraphWave, an algorithm for computing structural signatures for nodes in a network using heat spectral wavelets. This code folder is organized as follows:
The main features of snap-stanford/graphwave are: Embedding Algorithms.
Open-source alternatives to snap-stanford/graphwave include: andompesta/come — Implementation of ComE algorithm. anryyang/hope. benedekrozemberczki/asne — A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018). benedekrozemberczki/attentionwalk — A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018). benedekrozemberczki/bane — A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018). aditya-grover/node2vec — This repository provides a reference implementation of node2vec as described in the paper:.
