Graph neural networks: foundations, frontiers, and applications
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer
[2022]
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Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 HWR01 TUM01 TUM01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UEI01 UER01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (xxxvi, 689 Seiten) Illustrationen |
ISBN: | 9789811660542 |
DOI: | 10.1007/978-981-16-6054-2 |
Internformat
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Datensatz im Suchindex
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author2 | Wu, Lingfei Cui, Peng Pei, Jian Zhao, Liang |
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discipline | Biologie Informatik |
discipline_str_mv | Biologie Informatik |
doi_str_mv | 10.1007/978-981-16-6054-2 |
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id | DE-604.BV047832052 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:09:28Z |
indexdate | 2024-08-01T16:15:35Z |
institution | BVB |
isbn | 9789811660542 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033215286 |
oclc_num | 1298747955 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-91G DE-BY-TUM DE-2070s DE-83 DE-91 DE-BY-TUM |
owner_facet | DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-91G DE-BY-TUM DE-2070s DE-83 DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (xxxvi, 689 Seiten) Illustrationen |
psigel | ZDB-2-SCS ZDB-30-PQE ZDB-2-SCS_2022 ZDB-2-SCS TUM_PDA_SCS_Kauf ZDB-30-PQE TUM_Einzelkauf_2022 |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | Springer |
record_format | marc |
spellingShingle | Graph neural networks foundations, frontiers, and applications Machine Learning Data Science Data Mining and Knowledge Discovery Automated Pattern Recognition Models of Computation Theory and Algorithms for Application Domains Machine learning Artificial intelligence—Data processing Data mining Pattern recognition systems Computer science Mustererkennung (DE-588)4040936-3 gnd Data Mining (DE-588)4428654-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Deep learning (DE-588)1135597375 gnd |
subject_GND | (DE-588)4040936-3 (DE-588)4428654-5 (DE-588)4193754-5 (DE-588)1135597375 |
title | Graph neural networks foundations, frontiers, and applications |
title_auth | Graph neural networks foundations, frontiers, and applications |
title_exact_search | Graph neural networks foundations, frontiers, and applications |
title_exact_search_txtP | Graph neural networks foundations, frontiers, and applications |
title_full | Graph neural networks foundations, frontiers, and applications Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao ; Editors |
title_fullStr | Graph neural networks foundations, frontiers, and applications Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao ; Editors |
title_full_unstemmed | Graph neural networks foundations, frontiers, and applications Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao ; Editors |
title_short | Graph neural networks |
title_sort | graph neural networks foundations frontiers and applications |
title_sub | foundations, frontiers, and applications |
topic | Machine Learning Data Science Data Mining and Knowledge Discovery Automated Pattern Recognition Models of Computation Theory and Algorithms for Application Domains Machine learning Artificial intelligence—Data processing Data mining Pattern recognition systems Computer science Mustererkennung (DE-588)4040936-3 gnd Data Mining (DE-588)4428654-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Deep learning (DE-588)1135597375 gnd |
topic_facet | Machine Learning Data Science Data Mining and Knowledge Discovery Automated Pattern Recognition Models of Computation Theory and Algorithms for Application Domains Machine learning Artificial intelligence—Data processing Data mining Pattern recognition systems Computer science Mustererkennung Data Mining Maschinelles Lernen Deep learning |
url | https://doi.org/10.1007/978-981-16-6054-2 |
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