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]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [8]
• 会议论文 [2]

发表日期

• 2021 [10]

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2021     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Multi-aspect self-supervised learning for heterogeneous information network 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, KNOWLEDGE-BASED SYSTEMS, 2021, 2021, 卷号: 233, 233, 页码: 14, 14 作者:  Che, Feihu;  Tao, Jianhua;  Yang, Guohua;  Liu, Tong;  Zhang, Dawei   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/12/28 Heterogeneous information network  Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural 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  OAI收割 ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 卷号: 50, 页码: 17 作者:  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Daniel Dajun   |  收藏  |  浏览/下载：21/0  |  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  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者:  Jiang, Bo;  Wang, Leiling;  Cheng, Jian;  Tang, Jin;  Luo, Bin   |  收藏  |  浏览/下载：19/0  |  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  OAI收割 NEUROCOMPUTING, NEUROCOMPUTING, 2021, 2021, 卷号: 456, 456, 页码: 88-96, 88-96 作者:  Che, Feihu;  Yang, Guohua;  Zhang, Dawei;  Tao, Jianhua;  Liu, Tong   |  收藏  |  浏览/下载：61/0  |  提交时间：2021/11/03 Graph representation learning  Graph representation learning  Self-supervised  Bootstrapping  Graph neural network  Self-supervised  Bootstrapping  Graph neural network   EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：27/0  |  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  OAI收割 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   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/08/17 Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Liu, Yixin;  Li, Zhao;  Pan, Shirui;  Gong, Chen;  Zhou, Chuan   |  收藏  |  浏览/下载：24/0  |  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  OAI收割 上海, 2020-12-3 作者:  Tian Hu;  Ye Bowei;  Zheng Xiaolong;  Zhang Xingwei;  Wu Dash Desheng   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/07/04 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 4285-4296 作者:  Hu, Yufan;  Gao, Junyu;  Xu, Changsheng   |  收藏  |  浏览/下载：21/0  |  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  OAI收割 Virtual Event, Australia, November 1–5, 2021 作者:  Wang,Liping;  Hu,Fenyu;  Wu,Shu;  Wang,Liang   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/06/27