Deep learning on graphs:
Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established meth...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
[2021]
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| Subjects: | |
| Links: | https://doi.org/10.1017/9781108924184 https://doi.org/10.1017/9781108924184 https://doi.org/10.1017/9781108924184 https://doi.org/10.1017/9781108924184 https://doi.org/10.1017/9781108924184 https://doi.org/10.1017/9781108924184 https://doi.org/10.1017/9781108924184 |
| Summary: | Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines |
| Physical Description: | 1 Online-Ressource (xviii, 320 Seiten) |
| ISBN: | 9781108924184 |
| DOI: | 10.1017/9781108924184 |
Staff View
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| id | DE-604.BV047568468 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-13T09:00:44Z |
| institution | BVB |
| isbn | 9781108924184 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032954138 |
| oclc_num | 1284785113 |
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| physical | 1 Online-Ressource (xviii, 320 Seiten) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO ZDB-20-CBO TUM_Paketkauf_2021 ZDB-20-CBO UBM_PDA_CBO_Kauf_2023 ZDB-20-CBO UER_PDA_CBO_Kauf_2022 ZDB-20-CBO UPA_PDA_CBO_Kauf2021 |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Cambridge University Press |
| record_format | marc |
| spellingShingle | Ma, Yao ca. 20./21. Jh Tang, Jiliang ca. 20./21. Jh Deep learning on graphs Machine learning Graph algorithms Graphentheorie (DE-588)4113782-6 gnd Deep Learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4113782-6 (DE-588)1135597375 |
| title | Deep learning on graphs |
| title_auth | Deep learning on graphs |
| title_exact_search | Deep learning on graphs |
| title_full | Deep learning on graphs Yao Ma, Jiliang Tang |
| title_fullStr | Deep learning on graphs Yao Ma, Jiliang Tang |
| title_full_unstemmed | Deep learning on graphs Yao Ma, Jiliang Tang |
| title_short | Deep learning on graphs |
| title_sort | deep learning on graphs |
| topic | Machine learning Graph algorithms Graphentheorie (DE-588)4113782-6 gnd Deep Learning (DE-588)1135597375 gnd |
| topic_facet | Machine learning Graph algorithms Graphentheorie Deep Learning |
| url | https://doi.org/10.1017/9781108924184 |
| work_keys_str_mv | AT mayao deeplearningongraphs AT tangjiliang deeplearningongraphs |