Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications-Reference-Cited by-同舟云学术

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Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications

Published:2024-09 Issue:5 Volume:11 Page:4990-5007
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Pei Xinjun¹^ORCID,Deng Xiaoheng¹^ORCID,Xiong Neal N.²^ORCID,Mumtaz Shahid³^ORCID,Wu Jie⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China

2. Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA

3. Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland

4. Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

Funder

National Natural Science Foundation of China

Joint Funds for Railway Fundamental Research of National Natural Science Foundation of China

special fund of National Key Laboratory of Ni&Co Associated Minerals Resources Development and Comprehensive Utilization

Key Project of Shenzhen City Special Fund for Fundamental Research

National Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488902/10637788/10568369.pdf?arnumber=10568369

Reference113 articles.

1. Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity

2. Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

3. Community detection based on directed weighted signed graph convolutional networks

4. Multi-dimensional Graph Convolutional Networks

5. Signed Graph Convolutional Networks

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