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CASIA OpenIR
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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：22/7  |  提交时间：2024/06/21
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 页码: 1-13
作者:  Qiang Liu;  Junfei Wu;  Shu Wu;  Liang Wang
Adobe PDF(1303Kb)  |  收藏  |  浏览/下载：20/5  |  提交时间：2024/06/21
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 页码: 1-14
作者:  Junfei Wu;  Weizhi Xu;  Qiang Liu;  Shu Wu;  Liang Wang
Adobe PDF(4374Kb)  |  收藏  |  浏览/下载：19/3  |  提交时间：2024/06/21
A Unified Framework Based on Graph Consensus Term for Multiview Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 卷号: 35, 期号: 3, 页码: 3964 - 3977
作者:  Xiangzhu Meng;  Lin Feng;  Chonghui Guo;  Huibing Wang;  Shu Wu
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：10/4  |  提交时间：2024/06/21
Explainable enterprise credit rating using deep feature crossing 期刊论文
Expert Systems With Applications, 2023, 卷号: 220, 期号: c, 页码: 1-12
作者:  Weiyu Guo;  Zhijiang Yang;  Shu Wu;  Fu Chen;  Xiuli Wang;  Fu Chen
Adobe PDF(1259Kb)  |  收藏  |  浏览/下载：11/4  |  提交时间：2024/06/20
DyGCN: Efficient Dynamic Graph Embedding with Graph Convolutional Network 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 卷号: 35, 期号: 4, 页码: 4635 - 4646
作者:  Zeyu Cui;  Zekun Li;  Shu Wu(吴书);  Xiaoyu Zhang;  Qiang Liu;  Liang Wang;  Mengmeng Ai
Adobe PDF(1157Kb)  |  收藏  |  浏览/下载：18/6  |  提交时间：2024/06/20
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
Adobe PDF(1686Kb)  |  收藏  |  浏览/下载：93/4  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：139/4  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
Adobe PDF(3483Kb)  |  收藏  |  浏览/下载：132/1  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis  
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：213/70  |  提交时间：2023/07/06