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Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 卷号: 36, 期号: 4, 页码: 1773-1784
作者:  Liping Wang;  Qiang Liu;  Mengqi Zhang;  Yaxuan Hu;  Shu Wu;  Liang Wang
Adobe PDF(2088Kb)  |  收藏  |  浏览/下载：36/14  |  提交时间：2024/06/21
Medical diagnostic imaging  Knowledge graphs  Ontologies  Codes  Data models  Predictive models  Graph neural networks  Diagnosis prediction  electronic health record  knowledge graph  relational graph neural network  
Tri-relational multi-faceted graph neural networks for automatic question tagging 期刊论文
Neurocomputing, 2024, 卷号: 576, 页码: 127250
作者:  Nuojia Xu;  Jun Hu;  Quan Fang;  Dizhan Xue;  Yongxi Li;  Shengsheng Qian
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：43/20  |  提交时间：2024/06/04
Graph Neural Networks  Community Question Answering  Question Tagging  
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：103/5  |  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：159/12  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2083Kb)  |  收藏  |  浏览/下载：95/6  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
Adversarial Heterogeneous Graph Neural Network for Robust Recommendation 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 12
作者:  Sang, Lei;  Xu, Min;  Qian, Shengsheng;  Wu, Xindong
收藏  |  浏览/下载：133/0  |  提交时间：2023/11/17
Perturbation methods  Motion pictures  Training  Graph neural networks  Robustness  Semantics  Predictive models  Adversarial training (AT)  graph neural network (GNN)  heterogeneous graph  recommendation  
Learning to Learn a Cold-start Sequential Recommender 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 2, 页码: 25
作者:  Huang, Xiaowen;  Sang, Jitao;  Yu, Jian;  Xu, Changsheng
收藏  |  浏览/下载：250/0  |  提交时间：2022/06/06
Cold-start recommendation  meta-learning  graph representation  sequential recommendation  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：409/75  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
An IVC-Based Nuclear Emergency Parallel Evacuation System 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 4, 页码: 844-855
作者:  Tan, Ke;  Yang, Linyao;  Liu, Xin;  Xu, Yancai;  Lin, Jiazhen;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：302/45  |  提交时间：2021/11/02
Computational modeling  Planning  Optimization  Roads  Mathematical model  Collaboration  Power generation  ACP  intelligent vehicle collaborative system  nuclear evacuation  optimization  parallel intelligence  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：356/47  |  提交时间：2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy