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 is an implementation of the PTE model for learning predictive text embeddings (PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks).
The main features of mnqu/pte are: Embedding Algorithms.
Open-source alternatives to mnqu/pte 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:.
