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Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Wei Chen,Qinhu Zhang Conference proceeding

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发表于 2025-3-21 17:57:48 | 显示全部楼层 |阅读模式
期刊全称Advanced Intelligent Computing Technology and Applications
期刊简称20th International C
影响因子2023De-Shuang Huang,Wei Chen,Qinhu Zhang
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Wei Chen,Qinhu Zhang Conference proceeding
影响因子.This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology... .. .
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书目名称Advanced Intelligent Computing Technology and Applications被引频次学科排名




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HRMNN: Heterogeneous Relationship Mined Graph Neural Networkerate richer node representation. Experiments such as node classification and link prediction on multiple datasets demonstrate that HRMNN has better performance compared to state-of-the-art baselines.
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Knowledge Completion Method Based on Relational Embedding with GNNpaper analyzes some models such as CompGCN and SE-GNN. They have shown excellent performance on several datasets. There is also an analysis of the future development of GNN-based methods for knowledge completion.
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