Verfügbarkeit: Heterogeneous Graph Representation Learning and Applications

Heterogeneous Graph Representation Learning and Applications:

Gespeichert in:

Bibliographische Detailangaben
Beteiligte Personen:	Shi, Chuan (VerfasserIn), Wang, Xiao (VerfasserIn), Yu, Philip S. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 2022 Singapore Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	Artificial Intelligence: Foundations, Theory, and Algorithms
Schlagwörter:	Data Mining and Knowledge Discovery Machine Learning Data Science Data mining Machine learning Artificial intelligence—Data processing
Links:	https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2 https://doi.org/10.1007/978-981-16-6166-2
Umfang:	1 Online-Ressource (XX, 318 p. 1 illus)
ISBN:	9789811661662
ISSN:	2365-306X
DOI:	10.1007/978-981-16-6166-2

Internformat

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Datensatz im Suchindex

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series2	Artificial Intelligence: Foundations, Theory, and Algorithms
spelling	Shi, Chuan Verfasser aut Heterogeneous Graph Representation Learning and Applications by Chuan Shi, Xiao Wang, Philip S. Yu 1st ed. 2022 Singapore Springer Singapore 2022 Singapore Springer 1 Online-Ressource (XX, 318 p. 1 illus) txt rdacontent c rdamedia cr rdacarrier Artificial Intelligence: Foundations, Theory, and Algorithms 2365-306X Data Mining and Knowledge Discovery Machine Learning Data Science Data mining Machine learning Artificial intelligence—Data processing Wang, Xiao aut Yu, Philip S. aut Erscheint auch als Druck-Ausgabe 978-981-1661-65-5 Erscheint auch als Druck-Ausgabe 978-981-1661-67-9 Erscheint auch als Druck-Ausgabe 978-981-1661-68-6 https://doi.org/10.1007/978-981-16-6166-2 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Shi, Chuan Wang, Xiao Yu, Philip S. Heterogeneous Graph Representation Learning and Applications Data Mining and Knowledge Discovery Machine Learning Data Science Data mining Machine learning Artificial intelligence—Data processing
title	Heterogeneous Graph Representation Learning and Applications
title_auth	Heterogeneous Graph Representation Learning and Applications
title_exact_search	Heterogeneous Graph Representation Learning and Applications
title_full	Heterogeneous Graph Representation Learning and Applications by Chuan Shi, Xiao Wang, Philip S. Yu
title_fullStr	Heterogeneous Graph Representation Learning and Applications by Chuan Shi, Xiao Wang, Philip S. Yu
title_full_unstemmed	Heterogeneous Graph Representation Learning and Applications by Chuan Shi, Xiao Wang, Philip S. Yu
title_short	Heterogeneous Graph Representation Learning and Applications
title_sort	heterogeneous graph representation learning and applications
topic	Data Mining and Knowledge Discovery Machine Learning Data Science Data mining Machine learning Artificial intelligence—Data processing
topic_facet	Data Mining and Knowledge Discovery Machine Learning Data Science Data mining Machine learning Artificial intelligence—Data processing
url	https://doi.org/10.1007/978-981-16-6166-2
work_keys_str_mv	AT shichuan heterogeneousgraphrepresentationlearningandapplications AT wangxiao heterogeneousgraphrepresentationlearningandapplications AT yuphilips heterogeneousgraphrepresentationlearningandapplications

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