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|---|---|---|---|
| 999 |
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| 001 | 387830 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230422115129.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230422s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783031015908 | ||
| 024 | 7 |
_a10.1007/978-3-031-01590-8 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ325.5 _b2021 EB |
|
| 100 | 1 |
_aYang, Cheng _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688198 |
|
| 245 | 1 | 0 |
_aNetwork Embedding : _bTheories, Methods, and Applications _cby Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun |
| 250 | _a1st edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2021 |
|
| 300 | _a1 recurso en línea (XXI, 220 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning _x1939-4616 |
|
| 505 | 0 | _aPreface -- Acknowledgments -- The Basics of Network Embedding -- Network Embedding for General Graphs -- Network Embedding for Graphs with Node Attributes -- Revisiting Attributed Network Embedding: A GCN-Based Perspective -- Network Embedding for Graphs with Node Contents -- Network Embedding for Graphs with Node Labels -- Network Embedding for Community-Structured Graphs -- Network Embedding for Large-Scale Graphs -- Network Embedding for Heterogeneous Graphs -- Network Embedding for Social Relation Extraction -- Network Embedding for Recommendation Systems on LBSNs -- Network Embedding for Information Diffusion Prediction -- Future Directions of Network Embedding -- Bibliography -- Authors' Biographies. | |
| 520 | _aheterogeneous graphs. Further, the book introduces different applications of NE such as recommendation and information diffusion prediction. Finally, the book concludes the methods and applications and looks forward to the future directions. | ||
| 988 | _aSynthesis Collection of Technology_2021 | ||
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático |
|
| 650 | 7 |
_2embne _9678664 _aRedes neuronales artificiales |
|
| 650 | 7 |
_2embne _9144892 _aEspacios vectoriales |
|
| 700 | 1 |
_aLiu, Zhiyuan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9682283 |
|
| 700 | 1 |
_aTu, Cunchao _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688199 |
|
| 700 | 1 |
_aShi, Chuan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683251 |
|
| 700 | 1 |
_aSun, Maosong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688200 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031000355 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031004629 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031027185 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01590-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b04/2023 _dz _eIG _zSI |
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