CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
Session-Based Recommendation with Graph Neural Networks 会议论文
, Honolulu, HI, 2019/01/27-2020/02/01
作者:  Shu Wu;  Yuyuan Tang;  Yanqiao Zhu;  Liang Wang;  Xing Xie;  Tieniu Tan
Adobe PDF(1825Kb)  |  收藏  |  浏览/下载:41/17  |  提交时间:2024/06/21
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载:233/76  |  提交时间:2023/07/06
GraphDIVE: Graph Classification by Mixture of Diverse Experts 会议论文
, Messe Wien, Vienna, Austria., July 23-29, 2022
作者:  Hu,Fenyu;  Wang,Liping;  Liu,Qiang;  Wu,Shu;  Wang,Liang;  Tan,Tieniu
Adobe PDF(275Kb)  |  收藏  |  浏览/下载:153/55  |  提交时间:2023/06/27
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载:565/245  |  提交时间:2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Social-Relational Topic Model for Social Networks 会议论文
In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015, Melbourne, Oct 24-28
作者:  Guo, Weiyu;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(1147Kb)  |  收藏  |  浏览/下载:399/135  |  提交时间:2016/10/24
Topic Modeling  Social Networks  Social Link Generation  
Coupled Topic Model for Collaborative Filtering With User-Generated Content 期刊论文
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 908-920
作者:  Wu, Shu;  Guo, Weiyu;  Xu, Song;  Huang, Yongzhen;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载:559/201  |  提交时间:2016/10/24
Collaborative Filtering (Cf)  Recommender Systems (Rs)  Topic Model  User-generated Content (Ugc)