CSpace

浏览/检索结果: 共11条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Deep graph level anomaly detection with contrastive learning 期刊论文
SCIENTIFIC REPORTS, 2022, 卷号: 12, 期号: 1, 页码: 11
作者:  Luo, Xuexiong;  Wu, Jia;  Yang, Jian;  Xue, Shan;  Peng, Hao;  Zhou, Chuan;  Chen, Hongyang;  Li, Zhao;  Sheng, Quan Z.
收藏  |  浏览/下载:73/0  |  提交时间:2023/02/07
Networked Knowledge and Complex Networks: An Engineering View 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:  Lu, Jinhu;  Wen, Guanghui;  Lu, Ruqian;  Wang, Yong;  Zhang, Songmao
收藏  |  浏览/下载:135/0  |  提交时间:2023/02/07
Complex network  knowledge graph  networked knowledge  neural network  
A Comprehensive Survey on Community Detection With Deep Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
作者:  Su, Xing;  Xue, Shan;  Liu, Fanzhen;  Wu, Jia;  Yang, Jian;  Zhou, Chuan;  Hu, Wenbin;  Paris, Cecile;  Nepal, Surya;  Jin, Di;  Sheng, Quan Z.;  Yu, Philip S.
收藏  |  浏览/下载:151/0  |  提交时间:2022/04/29
Deep learning  Taxonomy  Optimization  Partitioning algorithms  Clustering algorithms  Social networking (online)  Peer-to-peer computing  Community detection  deep learning  graph neural network  network representation  social networks  
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;  Karypis, George
收藏  |  浏览/下载:125/0  |  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  
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
作者:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载:181/0  |  提交时间:2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
Deep spatial-temporal structure learning for rumor detection on Twitter 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 页码: 11
作者:  Huang, Qi;  Zhou, Chuan;  Wu, Jia;  Liu, Luchen;  Wang, Bin
收藏  |  浏览/下载:170/0  |  提交时间:2020/09/23
Rumor detection  Spatial-temporal structure learning  
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
作者:  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载:201/0  |  提交时间:2020/05/24
DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction  
Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network 期刊论文
BIOINFORMATICS, 2020, 卷号: 36, 期号: 2, 页码: 496-503
作者:  Zeng, Wanwen;  Wang, Yong;  Jiang, Rui
收藏  |  浏览/下载:172/0  |  提交时间:2020/06/30
OptQuant: Distributed training of neural networks with optimized quantization mechanisms 期刊论文
NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244
作者:  He, Li;  Zheng, Shuxin;  Chen, Wei;  Ma, Zhi-Ming;  Liu, Tie-Yan
收藏  |  浏览/下载:236/0  |  提交时间:2019/12/13
Distributed machine learning  Deep learning  Stochastic gradient descent  Gradient quantization  
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
收藏  |  浏览/下载:270/0  |  提交时间:2018/07/30
Biologically inspired model  object recognition  semantic learning  structural learning