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科研机构
自动化研究所 [7]
计算技术研究所 [1]
数学与系统科学研究院 [1]
上海药物研究所 [1]
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期刊论文 [8]
会议论文 [2]
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2021 [10]
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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
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/12/28
Heterogeneous information network
Self-supervised
Contrastive learning
Graph neural network
epsilon-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks
期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 卷号: 50, 页码: 17
作者:
Tian, Hu
;
Zheng, Xiaolong
;
Zhang, Xingwei
;
Zeng, Daniel Dajun
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  |  
浏览/下载:38/0
  |  
提交时间:2021/12/28
Privacy preservation
Anonymization
Graph neural networks
Social network
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Jiang, Bo
;
Wang, Leiling
;
Cheng, Jian
;
Tang, Jin
;
Luo, Bin
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  |  
浏览/下载:25/0
  |  
提交时间:2022/01/27
Task analysis
Computer architecture
Semisupervised learning
Deep learning
Laplace equations
Data models
Labeling
Graph embedding
graph neural networks (GNNs)
graph propagation
semi-supervised learning
Self-supervised graph representation learning via bootstrapping
期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:
Che, Feihu
;
Yang, Guohua
;
Zhang, Dawei
;
Tao, Jianhua
;
Liu, Tong
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/11/03
Graph representation learning
Self-supervised
Bootstrapping
Graph neural network
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2021, 卷号: 70, 期号: 9, 页码: 1511-1525
作者:
Liang, Shengwen
;
Wang, Ying
;
Liu, Cheng
;
He, Lei
;
Li, Huawei
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  |  
浏览/下载:19/0
  |  
提交时间:2021/12/01
Neural networks
Hardware
System-on-chip
Task analysis
Feature extraction
Memory management
Graph neural network
accelerator architecture
hardware acceleration
Graph neural networks for automated de novo drug design
期刊论文
DRUG DISCOVERY TODAY, 2021, 卷号: 26, 期号: 6, 页码: 1382-1393
作者:
Xiong, Jiacheng
;
Xiong, Zhaoping
;
Chen, Kaixian
;
Jiang, Hualiang
;
Zheng, Mingyue
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  |  
浏览/下载:19/0
  |  
提交时间:2021/08/17
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Yixin
;
Li, Zhao
;
Pan, Shirui
;
Gong, Chen
;
Zhou, Chuan
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  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
Anomaly detection
Task analysis
Graph neural networks
Unsupervised learning
Predictive models
Pattern matching
Training
Anomaly detection
attributed networks
contrastive self-supervised learning
graph neural networks (GNNs)
unsupervised learning
Robust Graph Neural Networks Against Adversarial Attacks via Jointly Adversarial Training
会议论文
上海, 2020-12-3
作者:
Tian Hu
;
Ye Bowei
;
Zheng Xiaolong
;
Zhang Xingwei
;
Wu Dash Desheng
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浏览/下载:0/0
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提交时间:2023/07/04
Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 4285-4296
作者:
Hu, Yufan
;
Gao, Junyu
;
Xu, Changsheng
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  |  
浏览/下载:4/0
  |  
提交时间:2021/12/28
Task analysis
Feature extraction
Training
Testing
Streaming media
Data models
Semantics
Few-shot learning
graph neural networks
video classification
Label-informed Graph Structure Learning for Node Classification
会议论文
Virtual Event, Australia, November 1–5, 2021
作者:
Wang,Liping
;
Hu,Fenyu
;
Wu,Shu
;
Wang,Liang
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浏览/下载:0/0
  |  
提交时间:2023/06/27
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