SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
About this item
Full title
Author / Creator
Li, Yayong , Yin, Jie and Chen, Ling
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Active learning (AL) on attributed graphs has received increasing attention with the prevalence of graph-structured data. Although AL has been widely studied for alleviating label sparsity issues with the conventional non-related data, how to make it effective over attributed graphs remains an open research question. Existing AL algorithms on graph...
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Full title
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2278327072
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2278327072
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1908.08169
