Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Hongchao Qin"'
Publikováno v:
IEEE Transactions on Big Data. 9:37-50
Autor:
Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-15
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:3927-3945
Mining periodic communities are essential to understanding periodic group behaviors in temporal networks. Unfortunately, most previous studies for community mining in temporal networks ignore the periodic patterns of communities. In this paper, we st
Publikováno v:
International Journal of Software & Informatics; 2023, Vol. 13 Issue 4, p379-397, 19p
Publikováno v:
IEEE Transactions on Big Data. 8:671-684
Community detection is a fundamental task in graph data mining. Most existing studies in contact networks, collaboration networks, and social networks do not utilize the temporal information associated with edges for community detection. In this pape
Publikováno v:
Web and Big Data ISBN: 9783031251573
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d571d0bffd0cd7cb9a0a98be1ca46f47
https://doi.org/10.1007/978-3-031-25158-0_38
https://doi.org/10.1007/978-3-031-25158-0_38
Autor:
Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Graph kernels and graph neural networks (GNNs) are widely used for the classification of graph data. However, many existing graph kernels and GNNs have limited expressive power, because they cannot distinguish graphs if the classic 1-dimensional Weis
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Publikováno v:
Cognitive Computation. 10:965-979
The task of personalized route query is to find the optimal trip that contains the keywords specified by the query user and satisfies the travel distance constraints. The previous studies mostly focus on collaborative filtering by considering user si