RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved

DOI10.1613/jair.1.12567OpenAlexW3176794472MaRDI QIDQ5009696

Hao Peng, Jian-Xin Li, Xinmiao Zhang, Fanzhang Peng, Yangqiu Song, Yu He, Cheng Ji

Publication date: 5 August 2021

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.07874

zbMATH Keywords

neural networksknowledge representationdata miningmachine learning

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Uses Software

• word2vec
• node2vec
• GraRep
• DeepWalk
• HeteSpaceyWalk
• LINE
• Walklets

Cites Work

• Leveraging social media networks for classification
• An Efficient Method for Generating Discrete Random Variables with General Distributions
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

This page was built for publication: RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved