Time-varying graph learning from smooth and stationary graph signals with hidden nodes
Time-varying graph learning from smooth and stationary graph signals with hidden nodes
About this item
Full title
Author / Creator
Ye, Rong , Jiang, Xue-Qin , Feng, Hui , Wang, Jian , Qiu, Runhe and Hou, Xinxin
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
More information
Scope and Contents
Contents
Learning graph structure from observed signals over graph is a crucial task in many graph signal processing (GSP) applications. Existing approaches focus on inferring static graph, typically assuming that all nodes are available. However, these approaches ignore the situation where only a subset of nodes are available from spatiotemporal measuremen...
Alternative Titles
Full title
Time-varying graph learning from smooth and stationary graph signals with hidden nodes
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_dff0491741fc42d5a001c4f810b7511c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dff0491741fc42d5a001c4f810b7511c
Other Identifiers
ISSN
1687-6180,1687-6172
E-ISSN
1687-6180
DOI
10.1186/s13634-024-01128-0
