×
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 [29]
北京大学 [7]
兰州理工大学 [4]
北京航空航天大学 [4]
计算技术研究所 [3]
数学与系统科学研究院 [2]
更多...
内容类型
期刊论文 [35]
会议论文 [13]
学位论文 [6]
其他 [4]
发表日期
2023 [7]
2022 [9]
2021 [8]
2020 [5]
2019 [4]
2018 [2]
更多...
×
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58条,第1-10条
帮助
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
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction
期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 11
作者:
Zhu, Wenjun
;
Liu, Yanghong
;
Wang, Peng
;
Zhang, Mengyi
;
Wang, Tian
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Trajectory prediction
Hierarchical policy
Graph neural networks
Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation
期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 15, 期号: 3, 页码: 388-398
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Boyin
;
Yi, Jianqiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/16
Cognition difference
coupling cognition network (CCN)
deep reinforcement learning (DRL)
graph convolutional network
multiagent systems (MASs)
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Tian, Hu
;
Zhang, Xingwei
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Gated recurrent unit
graph representation learning
learning dynamic dependencies
stock prediction system
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:
Hu, Xuemin
;
Liu, Yanfang
;
Tang, Bo
;
Yan, Junchi
;
Chen, Long
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Autonomous driving
graph convolutional network
trainable adjacency matrix
overtaking
dynamic graph
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation
期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:
Song, Yaguang
;
Yang, Xiaoshan
;
Xu, Changsheng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/06/12
Food recommendation
recipe calories
heterogeneous graph
selfsupervised learning
Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning
期刊论文
International Journal of Control, Automation and Systems, 2023, 页码: 1-13
作者:
Zhang TL(张天乐)
;
Liu Z(刘振)
;
Pu ZQ(蒲志强)
;
Yi JQ(易建强)
;
Liang YY(梁延研)
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/06/12
Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems
会议论文
Queensland, Australia, June 18-23, 2023
作者:
Zhang TL(张天乐)
;
Liu Z(刘振)
;
Pu ZQ(蒲志强)
;
Yi JQ(易建强)
;
Ai XL(艾晓琳)
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/06/12
ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Luo, Guiyang
;
Zhang, Hui
;
Yuan, Quan
;
Li, Jinglin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/01/09
Index Terms- Traffic forecasting
graph convolutional network
spatial-temporal networks
over-smoothing
A traffic flow-forecasting model based on multi-head spatio-temporal attention and adaptive graph convolutional networks
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022, 卷号: 33, 期号: 10
作者:
Zhang, Hong
;
Kan, Sunan
;
Cao, Jie
;
Chen, Linlong
;
Zhao, Tianxin
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/09/22
Traffic flow forecasting
deep learning
multi-head spatio-temporal attention mechanism
graph convolutional network
spatio-temporal correlation
Subgraph-aware graph structure revision for spatial-temporal graph modeling
期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:
Wang, Yuhu
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/01/09
Graph structure learning
Graph neural network
Spatial-temporal graph modeling
©版权所有 ©2017 CSpace - Powered by
CSpace