crusade
发表于 2025-3-21 18:25:35
书目名称Web Information Systems and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK1021541<br><br> <br><br>书目名称Web Information Systems and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK1021541<br><br> <br><br>
Gastric
发表于 2025-3-21 21:26:24
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BAIT
发表于 2025-3-22 03:16:52
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Hallmark
发表于 2025-3-22 06:33:06
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是贪求
发表于 2025-3-22 12:43:08
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superfluous
发表于 2025-3-22 13:30:26
GTGNN: Global Graph and Taxonomy Tree for Graph Neural Network Session-Based Recommendationorporating graph neural networks (GNN) for better performance. However, existing session-based recommendation methods tend to be limited to recommending items that already exist in users’ historical sessions, resulting in inadequate ability to recommend new items that users have never interacted wit
Medley
发表于 2025-3-22 17:15:56
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跳动
发表于 2025-3-23 00:55:41
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玩忽职守
发表于 2025-3-23 04:39:40
Relation-Oriented Temporal Knowledge Graphs Completion Based on Recurrent Neural Network methods learn the nodes on the fixed knowledge graphs by embedding and completing directly, which is computationally complex and difficult to apply concretely. Moreover, most knowledge graphs completion methods ignore the value of temporal information. In this paper, we propose a relational-oriente
BET
发表于 2025-3-23 07:40:41
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