國立虎尾科技大學 |

Deep learning on graphs

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep learning on graphs/ Yao Ma, Jiliang Tang.
作者:	Ma, Yao.
其他作者:	Tang, Jiliang.
出版者:	Cambridge :Cambridge University Press, : 2021.,
面頁冊數:	xviii, 320 p. :ill., digital ; : 24 cm.;
附註:	Title from publisher's bibliographic system (viewed on 07 Oct 2021).
標題:	Machine learning. -
電子資源:	https://doi.org/10.1017/9781108924184
ISBN:	9781108924184

Deep learning on graphs
Ma, Yao.

Deep learning on graphs[electronic resource] /Yao Ma, Jiliang Tang. - Cambridge :Cambridge University Press,2021. - xviii, 320 p. :ill., digital ;24 cm.

Title from publisher's bibliographic system (viewed on 07 Oct 2021).

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.

ISBN: 9781108924184Subjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5 / .M3 2021

Dewey Class. No.: 006.31

Deep learning on graphs
LDR:01760nam a2200241 a 4500 001 1114142
003 UkCbUP
005 20211014133629.0
006 m d
007 cr nn 008maaau
008 231225s2021 enk o 1 0 eng d
020 $a 9781108924184 $q (electronic bk.)
020 $a 9781108831741 $q (hardback)
035 $a CR9781108924184
040 $a UkCbUP $b eng $c UkCbUP $d GP
050 4 $a Q325.5 $b .M3 2021
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M111 2021
100 1 $a Ma, Yao. $3 1195628
245 1 0 $a Deep learning on graphs $h [electronic resource] / $c Yao Ma, Jiliang Tang.
260 $a Cambridge : $b Cambridge University Press, $c 2021.
300 $a xviii, 320 p. : $b ill., digital ; $c 24 cm.
500 $a Title from publisher's bibliographic system (viewed on 07 Oct 2021).
520 $a 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.
650 0 $a Machine learning. $3 561253
650 0 $a Graph algorithms. $3 713780
700 1 $a Tang, Jiliang. $3 1372868
856 4 0 $u https://doi.org/10.1017/9781108924184