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For: Park C, Han J, Yu H. Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl Based Syst 2020. [DOI: 10.1016/j.knosys.2020.105861] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Number Cited by Other Article(s)
1
Yuan R, Tang Y, Wu Y, Zhang W. Clustering Enhanced Multiplex Graph Contrastive Representation Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2025;36:1341-1355. [PMID: 38015684 DOI: 10.1109/tnnls.2023.3334751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
2
Liu T, Fang ZY, Zhang Z, Yu Y, Li M, Yin MZ. A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics. Comput Struct Biotechnol J 2024;23:106-128. [PMID: 38089467 PMCID: PMC10714345 DOI: 10.1016/j.csbj.2023.11.055] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 10/16/2024]  Open
3
He D, Liang C, Huo C, Feng Z, Jin D, Yang L, Zhang W. Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024;35:4438-4450. [PMID: 35235523 DOI: 10.1109/tnnls.2022.3149997] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
4
Yang C, Wen H, Hooi B, Zhou L. CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024;35:4554-4566. [PMID: 36417735 DOI: 10.1109/tnnls.2022.3222165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
5
Pan S, Xia L, Xu L, Li Z. SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features. BMC Bioinformatics 2023;24:334. [PMID: 37679724 PMCID: PMC10485962 DOI: 10.1186/s12859-023-05460-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 08/31/2023] [Indexed: 09/09/2023]  Open
6
Liu L, Kang Z, Ruan J, He X. Multilayer graph contrastive clustering network. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.09.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
7
Yang C, Xiao Y, Zhang Y, Sun Y, Han J. Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2022;34:4854-4873. [PMID: 37915376 PMCID: PMC10619966 DOI: 10.1109/tkde.2020.3045924] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
8
Wang Y, Peng Q, Wang W, Guo X, Shao M, Liu H, Liang W, Pan L. Network Alignment enhanced via modeling heterogeneity of anchor nodes. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
9
PMCDM: Privacy-preserving multiresolution community detection in multiplex networks. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.108542] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
10
Cross-network representation learning for anchor users on multiplex heterogeneous social network. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.108461] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
11
Che F, Tao J, Yang G, Liu T, Zhang D. Multi-aspect self-supervised learning for heterogeneous information network. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107474] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
12
Wu L, Wang D, Song K, Feng S, Zhang Y, Yu G. Dual-view hypergraph neural networks for attributed graph learning. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107185] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
13
Yi HC, You ZH, Huang DS, Kwoh CK. Graph representation learning in bioinformatics: trends, methods and applications. Brief Bioinform 2021;23:6361044. [PMID: 34471921 DOI: 10.1093/bib/bbab340] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/18/2021] [Accepted: 08/02/2021] [Indexed: 12/12/2022]  Open
14
Jafari SH, Abdolhosseini-Qomi AM, Asadpour M, Rahgozar M, Yazdani N. An information theoretic approach to link prediction in multiplex networks. Sci Rep 2021;11:13242. [PMID: 34168194 PMCID: PMC8225891 DOI: 10.1038/s41598-021-92427-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 06/10/2021] [Indexed: 11/09/2022]  Open
15
Detection of Sociolinguistic Features in Digital Social Networks for the Detection of Communities. Cognit Comput 2021. [DOI: 10.1007/s12559-021-09818-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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