Destruct
发表于 2025-3-21 19:02:42
书目名称Web and Big Data影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data网络公开度<br> http://impactfactor.cn/at/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data被引频次<br> http://impactfactor.cn/tc/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data年度引用<br> http://impactfactor.cn/ii/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK1021664<br><br> <br><br>书目名称Web and Big Data读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK1021664<br><br> <br><br>
V切开
发表于 2025-3-21 22:54:47
,A BERT-Based Semantic Enhanced Model for COVID-19 Fake News Detection,eos. Meanwhile, fake news spreads widely on the Internet, preventing authoritative information from spreading and hindering the fight against the disease. To detect and recognize fake news, as well as to prevent its spread, effective detection models are urgently required. Text information is the mo
小画像
发表于 2025-3-22 04:24:00
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Narcissist
发表于 2025-3-22 06:37:04
,Mining Frequent Geo-Subgraphs in a Knowledge Graph,ial networks, citation networks, protein interaction networks, etc. This paper studies frequent subgraph mining in a knowledge graph, where some vertices are associated with geo-coordinates, called geo-vertices. We introduce geo-constraints and propose the problem of frequent geo-subgraph (FGS) mini
dilute
发表于 2025-3-22 12:44:14
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不规则
发表于 2025-3-22 13:40:48
,Locality Sensitive Hashing for Data Placement to Optimize Parallel Subgraph Query Evaluation, an opportunity for parallelizing subgraph queries in large graphs. To effectively evaluate these subgraph queries, it is crucial to place vertices among different workers. In contrast to widely used hash-based techniques, our approach leverages the utilization of locality sensitive hashing methods
infringe
发表于 2025-3-22 18:15:48
DUTD: A Deeper Understanding of Trajectory Data for User Identity Linkage, studies on users’ spatio-temporal behaviors. Among these studies, the task of trajectory-based user identity linkage (UIL) has attracted extensive attention recently. Existing efforts for the task mainly rely on data mining methods and sequence models to extract features and measure user identity s
Abrupt
发表于 2025-3-22 23:46:46
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无表情
发表于 2025-3-23 02:01:24
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脱离
发表于 2025-3-23 06:26:22
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