Art
J-GLOBAL ID:202002262163204373   Reference number:20A2031449

DySAT Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks

セルフアテンションネットワークによる動的グラフ上のDySAT深層ニューラル表現学習【JST・京大機械翻訳】
Author (5):
Material:
Issue: WSDM ’20  Page: 519-527  Publication year: 2020 
JST Material Number: D0698C  Document type: Proceedings
Article type: 原著論文  Country of issue: United States (USA)  Language: ENGLISH (EN)
Abstract/Point:
Abstract/Point
Japanese summary of the article(about several hundred characters).
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Learning node representations ...
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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Author keywords (3):
JST classification (2):
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Basics of graph theory  ,  Computer networks 
Terms in the title (3):
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