Graph neural networks: foundations, frontiers, and applications
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
[2022]
|
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-2070s DE-91 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext |
| Beschreibung: | 1 Online-Ressource (xxxvi, 689 Seiten) Illustrationen |
| ISBN: | 9789811660542 |
| DOI: | 10.1007/978-981-16-6054-2 |
Internformat
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| id | DE-604.BV047832052 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:09:28Z |
| indexdate | 2025-02-20T07:03:21Z |
| 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 Deep Learning (DE-588)1135597375 gnd Data Mining (DE-588)4428654-5 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)4428654-5 (DE-588)4040936-3 (DE-588)4193754-5 |
| 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 Deep Learning (DE-588)1135597375 gnd Data Mining (DE-588)4428654-5 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 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 Deep Learning Data Mining Mustererkennung Maschinelles Lernen |
| url | https://doi.org/10.1007/978-981-16-6054-2 |
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