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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:3/0
  |  
提交时间:2024/02/22
Graph representation learning
Graph disentanglement
Probabilistic generation model
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 279, 页码: 11
作者:
Guan, Mengya
;
Cai, Xinjun
;
Shang, Jiaxing
;
Hao, Fei
;
Liu, Dajiang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/22
Graph neural network
Heterogeneous graph
Metapath
Subgraph
Information network
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
收藏
  |  
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
Intelligent monitoring and diagnosis of telescope image quality
期刊论文
Monthly Notices of the Royal Astronomical Society, 2023, 卷号: 525, 期号: 3, 页码: 3541–3550
作者:
Hu TZ(胡天柱)
;
Zhang Y(张勇)
;
Cui XQ(崔向群)
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/19
methods: data analysis
methods: numerical
techniques: image processing
software: data analysis
Asynchronous Event Processing with Local-Shift Graph Convolutional Network
会议论文
WASHINGTON, 2023-2
作者:
Linhui Sun
;
Yifan Zhang
;
Jian Cheng
;
Hanqing Lu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/22
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:2/0
  |  
提交时间:2023/11/22
Perturbation methods
Motion pictures
Training
Graph neural networks
Robustness
Semantics
Predictive models
Adversarial training (AT)
graph neural network (GNN)
heterogeneous graph
recommendation
Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study
期刊论文
HELIYON, 2023, 卷号: 9, 期号: 3, 页码: 11
作者:
Zhang, Shuai-Tong
;
Wang, Si-Yun
;
Zhang, Jie
;
Dong, Di
;
Mu, Wei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/16
Esophageal squamous cell carcinoma
PET/CT
Lymph node metastasis
Artificial intelligence
Dynamic Evolutionary Game-based Modeling, Analysis and Performance Enhancement of Blockchain Channels
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 188-202
作者:
PeiYun Zhang
;
MengChu Zhou
;
ChenXi Li
;
Abdullah Abusorrah
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2023/01/03
Blockchain
channel network
evolutionary game
malicious behavior
secure computing
stability analysis
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis
期刊论文
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:12/0
  |  
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
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