Coagulant
发表于 2025-3-21 16:30:51
书目名称Knowledge Science, Engineering and Management影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0544053<br><br> <br><br>书目名称Knowledge Science, Engineering and Management读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0544053<br><br> <br><br>
睨视
发表于 2025-3-21 21:51:31
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narcissism
发表于 2025-3-22 02:20:30
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玷污
发表于 2025-3-22 06:13:54
MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendationer may be interested in. It plays a crucial role in location-based services. Most existing spatial knowledge modeling methods cannot simultaneously consider spatial locations’ relationship and spatial movement periodicity in check-in sequence. Additionally, these methods model user preference knowle
OVERT
发表于 2025-3-22 12:16:52
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货物
发表于 2025-3-22 16:31:25
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Intervention
发表于 2025-3-22 20:28:15
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Morsel
发表于 2025-3-22 21:47:26
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Range-Of-Motion
发表于 2025-3-23 03:36:15
DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendationndations is often hampered by issues of entity sparsity and noise. To address these challenges, we propose a Diffusion-based Contrastive Learning with Knowledge Graphs for Recommendation (DICES). Our method combines diffusion models with multi-level contrastive learning approaches, aiming to enhance
forager
发表于 2025-3-23 06:35:07
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