Yichi Zhang

2024 journal article

A Theoretical Analysis of DeepWalk and Node2vec for Exact Recovery of Community Structures in Stochastic Blockmodels

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 46(2), 1065–1078.

By: Y. Zhang n & M. Tang n

author keywords: Stochastic blockmodel; network embedding; perfect community recovery; node2vec; DeepWalk; matrix factorization
TL;DR: These results guarantee that with large enough window size and vertex number, applying the matrix factorization-based node2vec embeddings can correctly recover the memberships of all vertices in a network generated from the stochastic blockmodel (or its degree-corrected variants). (via Semantic Scholar)
Source: Web Of Science
Added: February 12, 2024

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.