中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [17]
地理科学与资源研究所 [2]
数学与系统科学研究院 [2]
计算技术研究所 [1]
重庆绿色智能技术研究... [1]
沈阳自动化研究所 [1]
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OAI收割 [24]
内容类型
期刊论文 [19]
会议论文 [5]
发表日期
2024 [2]
2023 [7]
2022 [8]
2021 [7]
学科主题
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A cross-modal clinical prediction system for intensive care unit patient outcome
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 16
作者:
Sun, Mengxuan
;
Yang, Xuebing
;
Niu, Jinghao
;
Gu, Yifan
;
Wang, Chutong
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/02/21
Electronic health records
Clinical outcome prediction
Patient representation
Cross-modal contrastive learning
Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 1, 页码: 261-274
作者:
Zhang, Haonan
;
Ren, Yuyang
;
Fu, Luoyi
;
Wang, Xinbing
;
Chen, Guihai
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/02/05
Graph contrastive learning
graph representation learning
node augmentation
self-supervised learning
Clustering Enhanced Multiplex Graph Contrastive Representation Learning
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Yuan, Ruiwen
;
Tang, Yongqiang
;
Wu, Yajing
;
Zhang, Wensheng
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/03/27
Contrastive learning
graph representation learning
multiplex graph
multiview graph clustering
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning
期刊论文
OAI收割
NEUROCOMPUTING, 2023, 卷号: 556, 页码: 8
作者:
Li, Jianian
;
Bao, Peng
;
Yan, Rong
;
Shen, Huawei
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/04
Graph representation learning
Contrastive learning
Dynamic graph
Tempo-structural information
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning
期刊论文
OAI收割
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 卷号: 23, 期号: 1, 页码: 19
作者:
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/21
Electronic medical records
Medication prediction
Intelligent healthcare system
Multi-source medical knowledge
Graph contrastive learning
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Multimedia recommendation
graph structure learning
contrastive learning
Contrastive Multi-Modal Knowledge Graph Representation Learning
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 8983-8996
作者:
Fang, Quan
;
Zhang, Xiaowei
;
Hu, Jun
;
Wu, Xian
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Knowledge graph
multimedia
graph neural network
contrastive learning
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization
期刊论文
OAI收割
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2023, 卷号: 17, 期号: 5, 页码: 23
作者:
Ren, Yuyang
;
Zhang, Haonan
;
Yu, Peng
;
Fu, Luoyi
;
Cao, Xinde
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/10/09
Self-supervised learning
semi-supervised learning
graph neural network
GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者:
Xinhua Wang
;
Shasha Zhao
;
Lei Guo
;
Lei Zhu
;
Chaoran Cui
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/09/22
Contrastive learning
counterfactual representation
graph neural network
knowledge tracing
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:
Zeng, Xingjie
;
Zhou, Tao
;
Bao, Zhicheng
;
Zhao, Hongwei
;
Chen, Leiming
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/02/22
Federated learning
Data models
Artificial intelligence
Graph neural networks
Training
Learning systems
Servers
graph neural networks
responsible artificial intelligence (AI)
weight divergence
weight similarity evaluation