Self-supervised Dynamic Graph Embedding with evolutionary neighborhood and community-Reference-Cited by-同舟云学术

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Self-supervised Dynamic Graph Embedding with evolutionary neighborhood and community

Published:2023-10 Issue: Volume:228 Page:120409
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zang Xuan^ORCID,Tang Buzhou^ORCID

Funder

National Natural Science Foundation of China

Special Foundation for the Development of Strategic Emerging Industries of Shenzhen

National Natural Science Foundation of China-Guangdong Joint Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Pseudo-likelihood methods for community detection in large sparse networks;Amini,2013

2. A theorem on Fourier-Stieltjes integrals;Bochner;American Mathematical Society. Bulletin,1934

3. A multi-scale approach for graph link prediction;Cai,2020

4. A comprehensive survey of graph embedding: Problems, techniques, and applications;Cai;IEEE Transactions on Knowledge and Data Engineering,2018

5. Learning community embedding with community detection and node embedding on graphs;Cavallari,2017

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2. Information Recovery-Driven Deep Incomplete Multiview Clustering Network;IEEE Transactions on Neural Networks and Learning Systems;2023

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