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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering"
1026 条 记 录,以下是941-950 订阅
排序:
GPFedRec: Graph-Guided Personalization for Federated Recommendation
arXiv
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arXiv 2023年
作者: Zhang, Chunxu Long, Guodong Zhou, Tianyi Zhang, Zijian Yan, Peng Yang, Bo College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Australian Artificial Intelligence Institute FEIT University of Technology Sydney Sydney Australia UMIACS University of Maryland Maryland United States College of Computer Science and Technology Jilin University City University of Hong Kong China
The federated recommendation system is an emerging AI service architecture that provides recommendation services in a privacy-preserving manner. Using user-relation graphs to enhance federated recommendations is a pro... 详细信息
来源: 评论
A Multi-UAV Trajectory Planning Algorithm for Time-Sensitive Data Collection
A Multi-UAV Trajectory Planning Algorithm for Time-Sensitive...
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Next Generation Data-driven Networks (NGDN), International Conference on
作者: Peng Zhang Baoyu Liu Sihua Gao Bingyang Zhao Weifeng Xu China's Aviation System Engineering Research Institute Beijing China Chinese Aeronautical Establishment Beijing China Civil Aviation University of China Tianjin China North China Electric Power University (Baoding) China Hebei Key Laboratory of Knowledge Computing for Energy & Power China
Unmanned Aerial Vehicle has been employed to assist wireless sensor networks in collecting data that requires information freshness. However, due to the endurance of a single UAV, completing the data collection missio... 详细信息
来源: 评论
Automatic knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest
Automatic Knowledge Graph Construction: A Report on the 2019...
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IEEE International Conference on Data Mining (ICDM)
作者: Xindong Wu Jia Wu Xiaoyi Fu Jiachen Li Peng Zhou Xu Jiang Mininglamp Academy of Sciences Mininglamp Technology Beijing China Key Laboratory of Knowledge Engineering with Big Data (Hefei Univ. of Technology) Ministry of Education Hefei China Department of Computing Macquarie University Sydney Australia School of Computer Science and Technology Anhui University Hefei China
Automatic knowledge graph construction seeks to build a knowledge graph from unstructured text in a specific domain or cross multiple domains, without human intervention. IEEE ICDM 2019 and ICBK 2019 invited teams fro...
来源: 评论
Schgt-Im: Influence Maximization for Heterogeneous Networks Based on a Self-Supervised Clustered Heterogeneous Graph Transformer
SSRN
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SSRN 2022年
作者: Li, Ying Li, Linlin Liu, Xiangyu Liu, Yijun Li, Qianqian Key Laboratory of Symbolic Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Jilin Province Changchun130013 China The Faculty of Science and Engineering University of Nottingham NottinghamNG7 2RD United Kingdom Institutes of Science and Development Chinese Academy of Sciences Beijing100190 China School of Public Policy and Management University of Chinese Academy of Sciences Beijing100190 China
Influence maximization (IM) has drawn considerable attention in recent years. Most existing IM methods focus on homogeneous networks, and do not consider the heterogeneity and the attributes of different types of node... 详细信息
来源: 评论
iSplit LBI: Individualized partial ranking with ties via split LBI
arXiv
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arXiv 2019年
作者: Xu, Qianqian Sun, Xinwei Yang, Zhiyong Cao, Xiaochun Huang, Qingming Yao, Yuan Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Microsoft Research Asia State Key Laboratory of Information Security Institute of Information Engineering CAS School of Cyber Security University of Chinese Academy of Sciences School of Computer Science and Tech. University of Chinese Academy of Sciences Key Laboratory of Big Data Mining and Knowledge Management CAS Peng Cheng Laboratory Department of Mathematics Hong Kong University of Science and Technology Hong Kong
Due to the inherent uncertainty of data, the problem of predicting partial ranking from pairwise comparison data with ties has attracted increasing interest in recent years. However, in real-world scenarios, different... 详细信息
来源: 评论
Improving helpful actions for contingent planning with enforced observations
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Journal of Computational Information Systems 2013年 第7期9卷 2691-2698页
作者: Wei, Wei Ouyang, Dantong Zhao, Xiangfu Zhang, Liming College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun 130012 China College of Mathematics Physics and Information Engineering Zhejiang Normal University Jinhua 321004 China
We tackle the problem of improving the helpful actions technique for contingent planning. A revision of the heuristic computation that rearranges the relaxed planning graph is proposed, where the unreasonable conforma... 详细信息
来源: 评论
Applications of Game Theory in Vehicular Networks: A Survey
arXiv
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arXiv 2021年
作者: Sun, Zemin Liu, Yanheng Wang, Jian Li, Guofa Anil, Carie Li, Keqiang Guo, Xinyu Sun, Geng Tian, Daxin Cao, Dongpu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China School of Computer Science and Engineering VIT-AP Andhra Pradesh Amaravati522237 India College of Engineering Nanjing Agricultural University Nanjing210031 China State Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing100084 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China Waterloo Cognitive Autonomous Driving Lab University of Waterloo N2L 3G1 Canada
In the Internet of things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming vehicular networks (VNs) that provide efficient and safe traffic and ... 详细信息
来源: 评论
Resource Scheduling for UAVs-aided D2D Networks: A Multi-objective Optimization Approach
arXiv
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arXiv 2023年
作者: Pan, Hongyang Liu, Yanheng Sun, Geng Wang, Pengfei Yuen, Chau College of Computer Science and Technology Jilin University Changchun130012 China Pillar Singapore University of Technology and Design Singapore487372 Singapore Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China School of Computer Science and Technology Dalian University of Technology Dalian116024 China School of Electrical and Electronics Engineering Nanyang Technological University Singapore639798 Singapore
Unmanned aerial vehicles (UAVs)-aided device-to-device (D2D) networks have attracted great interests with the development of 5G/6G communications, while there are several challenges about resource scheduling in UAVs-a... 详细信息
来源: 评论
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
arXiv
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arXiv 2023年
作者: He, Junwei Xu, Qianqian Jiang, Yangbangyan Wang, Zitai Huang, Qingming Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China
Graph anomaly detection is crucial for identifying nodes that deviate from regular behavior within graphs, benefiting various domains such as fraud detection and social network. Although existing reconstruction-based ... 详细信息
来源: 评论
Conceptual Modeling for Advanced Application Domains  1
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丛书名: Lecture Notes in Computer Science
1000年
作者: Shan Wang Katsumi Tanaka Shuigeng Zhou Tok-Wang Ling Jihong Guan Dong-qing Yang Fabio Grandi Eleni E. Mangina Il-Yeol Song Heinrich C. Mayr
来源: 评论