×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [63]
计算技术研究所 [5]
兰州理工大学 [4]
数学与系统科学研究院 [4]
沈阳自动化研究所 [4]
地理科学与资源研究所 [3]
更多...
内容类型
期刊论文 [66]
会议论文 [26]
学位论文 [2]
发表日期
2021 [94]
学科主题
Physics [1]
信息科学与系统科学 [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共94条,第1-10条
帮助
限定条件
发表日期:2021
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
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
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:
Yang, Linyao
;
Wang, Xiao
;
Dai, Yuxin
;
Xin, Kejun
;
Zheng, Xiaolong
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/12/28
Knowledge fusion
Knowledge reasoning
Decision-making
Hierarchical graph attention
Reinforcement learning
An Empirical Study of Graph Contrastive Learning
会议论文
Online, 2021-12
作者:
Zhu, Yanqiao
;
Xu, Yichen
;
Liu, Qiang
;
Wu, Shu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/06/13
A combined traffic flow forecasting model based on graph convolutional network and attention mechanism
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2021, 卷号: 32, 期号: 12
作者:
Zhang, Hong
;
Chen, Linlong
;
Cao, Jie
;
Zhang, Xijun
;
Kan, Sunan
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/03/01
Traffic flow forecasting
deep learning
attention mechanism
graph convolutional network
spatiotemporal characteristics
Towards embedding information diffusion data for understanding big dynamic networks
期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 265-284
作者:
Yang, Hong
;
Zhang, Peng
;
Wang, Haishuai
;
Zhou, Chuan
;
Li, Zhao
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/04/02
Network coarsening
Information diffusion
Graph data mining
A deep learning traffic flow prediction framework based on multi-channel graph convolution
期刊论文
TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 卷号: 44, 期号: 8, 页码: 887-900
作者:
Zhao, Yuanmeng
;
Cao, Jie
;
Zhang, Hong
;
Liu, Zongli
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/12/17
Traffic flow
deep learning
graph convolution (GCN)
Long Short-Term Memory (LSTM)
spatial-temporal features
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis
期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Zhang, Zhi-Cheng
;
Zhang, Jun Jason
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2021/11/02
COVID-19 diagnose
Knowledge attention mechanism
Knowledge-based representation learning
Knowledge embedding
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
收藏
  |  
浏览/下载:26/0
  |  
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
Drug target inference by mining transcriptional data using a novel graph convolutional network framework
期刊论文
PROTEIN & CELL, 2021, 页码: 21
作者:
Zhong, Feisheng
;
Wu, Xiaolong
;
Yang, Ruirui
;
Li, Xutong
;
Wang, Dingyan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/12/01
drug target inference
transcriptomics
deep learning
experimental verification
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
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/04/02
Knowledge graph embedding
Graph attention mechanism
Entity typing
Link prediction
©版权所有 ©2017 CSpace - Powered by
CSpace