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自动化研究所 [15]
数学与系统科学研究院 [3]
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期刊论文 [17]
会议论文 [3]
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2022 [5]
2021 [10]
2020 [1]
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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
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
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  |  
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
Machine Learning Methods in Solving the Boolean Satisfiability Problem
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:
Wenxuan Guo
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  |  
浏览/下载:0/0
  |  
提交时间:2023/09/25
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification
期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:
Lin, Xixun
;
Zhou, Chuan
;
Wu, Jia
;
Yang, Hong
;
Wang, Haibo
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/02/07
Gradient -based attacks
Maximal gradient
Graph neural networks
Semi-supervised node classification
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
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  |  
浏览/下载:4/0
  |  
提交时间:2023/07/06
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Lin, Xixun
;
Li, Zhao
;
Zhang, Peng
;
Liu, Luchen
;
Zhou, Chuan
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  |  
浏览/下载:10/0
  |  
提交时间:2023/02/07
Task analysis
Kernel
Training
Decoding
Stochastic processes
Predictive models
Computational modeling
Few-shot learning
graph classification
graph neural networks (GNNs)
neural process (NP)
Structure-aware siamese graph neural networks for encounter-level patient similarity learning
期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13
作者:
Gu, Yifan
;
Yang, Xuebing
;
Tian, Lei
;
Yang, Hongyu
;
Lv, Jicheng
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  |  
浏览/下载:17/0
  |  
提交时间:2022/06/10
Encounter-Level Patient Similarity
Representation Learning
Siamese Networks
Graph Neural Networks
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:
Xin Liu
;
Mingyu Yan
;
Lei Deng
;
Guoqi Li
;
Xiaochun Ye
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  |  
浏览/下载:51/0
  |  
提交时间:2021/11/03
Efficient training
graph convolutional networks (GCNs)
graph neural networks (GNNs)
sampling method
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:
Yun, Xiao-Long
;
Zhang, Yan-Ming
;
Yin, Fei
;
Liu, Cheng-Lin
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  |  
浏览/下载:22/0
  |  
提交时间:2022/07/25
Handwriting recognition
Task analysis
Grammar
Semantics
Image segmentation
Trajectory
Text recognition
Online handwritten diagram recognition
symbol segmentation
symbol recognition
freehand sketch analysis
graph neural networks
Multi-aspect self-supervised learning for heterogeneous information network
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:
Che, Feihu
;
Tao, Jianhua
;
Yang, Guohua
;
Liu, Tong
;
Zhang, Dawei
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  |  
浏览/下载:26/0
  |  
提交时间:2021/12/28
Heterogeneous information network
Self-supervised
Contrastive learning
Graph neural network
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