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Graph meets probabilistic generation model: A new perspective for graph disentanglement
期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:
Peng, Zouzhang
;
Zheng, Shuai
;
Zhu, Zhenfeng
;
Liu, Zhizhe
;
Cheng, Jian
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Graph representation learning
Graph disentanglement
Probabilistic generation model
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Qi, Xingqun
;
Sun, Muyi
;
Wang, Zijian
;
Liu, Jiaming
;
Li, Qi
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Face photo-sketch synthesis
generative adversarial network
graph representation learning
intraclass and interclass
iterative cycle training (ICT)
Static-dynamic global graph representation for pedestrian trajectory prediction
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 277, 页码: 13
作者:
Zhou, Hao
;
Yang, Xu
;
Fan, Mingyu
;
Huang, Hai
;
Ren, Dongchun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Trajectory prediction
Social interaction
Global graph representation
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules
期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 19, 页码: 17
作者:
Lan, Yinyu
;
He, Shizhu
;
Liu, Kang
;
Zhao, Jun
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  |  
浏览/下载:0/0
  |  
提交时间:2023/12/21
distributed representation
knowledge graph
link prediction
logical rule
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
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
Cluster-aware self-training and refining
unsupervised learning
graph representation 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
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Multiplex network
Graph neural network
Network representation learning
Complementary information
Graph structure learning
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Tian, Hu
;
Zhang, Xingwei
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Gated recurrent unit
graph representation learning
learning dynamic dependencies
stock prediction system
A Novel Biologically Inspired Structural Model for Feature Correspondence
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:
Lu, Yan-Feng
;
Yang, Xu
;
Li, Yi
;
Yu, Qian
;
Liu, Zhi-Yong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Visualization
Biological system modeling
Biology
Brain modeling
Biological information theory
Task analysis
Strain
Appearance feature descriptor
biologically inspired model
feature correspondence
feature representation
graph matching (GM)
graph structure
TREPH: A Plug-In Topological Layer for Graph Neural Networks
期刊论文
Entropy, 2023, 卷号: 25, 期号: 2, 页码: 331
作者:
Ye, Xue
;
Sun, Fang
;
Xiang, Shiming
收藏
  |  
浏览/下载:153/0
  |  
提交时间:2023/06/19
graph neural network
graph representation learning
topological data analysis
extended persistent homology
GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing
期刊论文
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:8/0
  |  
提交时间:2023/09/22
Contrastive learning
counterfactual representation
graph neural network
knowledge tracing
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