Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Bi, Shuxian"'
Recommending items solely catering to users' historical interests narrows users' horizons. Recent works have considered steering target users beyond their historical interests by directly adjusting items exposed to them. However, the recommended item
Externí odkaz:
http://arxiv.org/abs/2409.08934
Recommender systems have achieved increasing accuracy over the years. However, this precision often leads users to narrow their interests, resulting in issues such as limited diversity and the creation of echo chambers. Current research addresses the
Externí odkaz:
http://arxiv.org/abs/2409.04827
Recommender systems mainly tailor personalized recommendations according to user interests learned from user feedback. However, such recommender systems passively cater to user interests and even reinforce existing interests in the feedback loop, lea
Externí odkaz:
http://arxiv.org/abs/2403.07571
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Li, Xiang, Wang, Gang, Wen, Jiantong, Liu, Wanyi, Zhan, Haijuan, Chen, Xiaoyan, Li, Heping, Bi, Shuxian
Publikováno v:
In Journal of Alloys and Compounds 5 January 2024 970
The original design of Graph Convolution Network (GCN) couples feature transformation and neighborhood aggregation for node representation learning. Recently, some work shows that coupling is inferior to decoupling, which supports deep graph propagat
Externí odkaz:
http://arxiv.org/abs/2010.12408
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning
Today, there are two major understandings for graph convolutional networks, i.e., in the spectral and spatial domain. But both lack transparency. In this work, we introduce a new understanding for it -- data augmentation, which is more transparent th
Externí odkaz:
http://arxiv.org/abs/2006.13090
Publikováno v:
In Chemical Engineering Journal 1 November 2023 475
Autor:
Hao, Pengcheng, Wang, Gang, Wen, Jiantong, Li, Xiang, Suo, Yanli, Zhan, Haijuan, Bi, Shuxian, Liu, Wanyi
Publikováno v:
In Journal of Environmental Chemical Engineering June 2022 10(3)
Autor:
Dong, Cunlu, Sun, Hao, Zhou, Yao, Zhan, Haijuan, Wang, Gang, Liu, Wanyi, Bi, Shuxian, Ma, Baojun
Publikováno v:
In Journal of Environmental Chemical Engineering June 2022 10(3)