中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共28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：72/0  |  提交时间：2023/02/07
Online Semisupervised Active Classification for Multiview PolSAR Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:  Nie, Xiangli;  Fan, Mingyu;  Huang, Xiayuan;  Yang, Wenjing;  Zhang, Bo;  Ma, Xiaoshuang
收藏  |  浏览/下载：92/0  |  提交时间：2023/02/07
Task analysis  Feature extraction  Heuristic algorithms  Data models  Manifolds  Semisupervised learning  Training  Online active learning  online multiview learning  online semisupervised learning (SSL)  polarimetric synthetic aperture radar (PolSAR) data classification  
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;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：112/0  |  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)  
API-GNN: attribute preserving oriented interactive graph neural network 期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2022, 页码: 20
作者:  Zhou, Yuchen;  Shang, Yanmin;  Cao, Yanan;  Li, Qian;  Zhou, Chuan;  Xu, Guandong
收藏  |  浏览/下载：142/0  |  提交时间：2022/04/02
Data mining  Graph neural networks  Social analysis  Representation learning  
Learning graph attention-aware knowledge graph embedding 期刊论文
NEUROCOMPUTING, 2021, 卷号: 461, 页码: 516-529
作者:  Li, Chen;  Peng, Xutan;  Niu, Yuhang;  Zhang, Shanghang;  Peng, Hao;  Zhou, Chuan;  Li, Jianxin
收藏  |  浏览/下载：138/0  |  提交时间：2022/04/02
Knowledge graph embedding  Graph attention mechanism  Entity typing  Link prediction  
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：122/0  |  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  
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Min, Wenwen;  Wan, Xiang;  Chang, Tsung-Hui;  Zhang, Shihua
收藏  |  浏览/下载：141/0  |  提交时间：2022/04/02
Gene expression  Biology  Biological system modeling  Principal component analysis  Mathematical model  Data models  Big Data  Absolute-valued graph regularization  graph regularization  sparse learning  structured sparse singular value decomposition (SVD)  
RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction 期刊论文
FRONTIERS IN MICROBIOLOGY, 2019, 卷号: 10, 页码: 10
作者:  Niu, Ya-Wei;  Qu, Cun-Quan;  Wang, Guang-Hui;  Yan, Gui-Ying
收藏  |  浏览/下载：267/0  |  提交时间：2020/01/10
hypergraph  random walk  microbe  human diseases  association prediction  
GIMDA: Graphlet interaction-based MiRNA-disease association prediction 期刊论文
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2018, 卷号: 22, 期号: 3, 页码: 1548-1561
作者:  Chen, Xing;  Guan, Na-Na;  Li, Jian-Qiang;  Yan, Gui-Ying
收藏  |  浏览/下载：187/0  |  提交时间：2018/07/30
miRNA  disease  miRNA-disease association  graphlet interaction  
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction 期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2017, 卷号: 76, 页码: 50-58
作者:  Chen, Xing;  Niu, Ya-Wei;  Wang, Guang-Hui;  Yan, Gui-Ying
收藏  |  浏览/下载：174/0  |  提交时间：2018/07/30
miRNA  Disease  miRNA-disease association  Hybrid prediction approach  Recommendation systems