000 | 03358nam a22005775i 4500 | ||
---|---|---|---|
001 | 978-3-031-01590-8 | ||
003 | DE-He213 | ||
005 | 20240730164212.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2021 sz | s |||| 0|eng d | ||
020 |
_a9783031015908 _9978-3-031-01590-8 |
||
024 | 7 |
_a10.1007/978-3-031-01590-8 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aYang, Cheng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _982848 |
|
245 | 1 | 0 |
_aNetwork Embedding _h[electronic resource] : _bTheories, Methods, and Applications / _cby Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aXXI, 220 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_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. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aMachine learning. _91831 |
|
650 | 0 |
_aNeural networks (Computer science) . _982850 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aMachine Learning. _91831 |
650 | 2 | 4 |
_aMathematical Models of Cognitive Processes and Neural Networks. _932913 |
700 | 1 |
_aLiu, Zhiyuan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _982852 |
|
700 | 1 |
_aTu, Cunchao. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _982853 |
|
700 | 1 |
_aShi, Chuan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _982855 |
|
700 | 1 |
_aSun, Maosong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _982857 |
|
710 | 2 |
_aSpringerLink (Online service) _982860 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031000355 |
776 | 0 | 8 |
_iPrinted edition: _z9783031004629 |
776 | 0 | 8 |
_iPrinted edition: _z9783031027185 |
830 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 _982862 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01590-8 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c85415 _d85415 |