×
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
清华大学 [44]
自动化研究所 [37]
北京航空航天大学 [31]
北京大学 [29]
山东大学 [24]
武汉大学 [24]
更多...
内容类型
期刊论文 [249]
会议论文 [62]
学位论文 [20]
其他 [12]
SCI/SSCI论文 [3]
会议 [3]
更多...
发表日期
2022 [5]
2021 [8]
2020 [8]
2019 [26]
2018 [31]
2017 [32]
更多...
学科主题
计算机科学技术 [1]
计算机科学技术::人... [1]
计算机科学技术::人... [1]
计算机科学技术::计... [1]
遥感技术 [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349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
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
Graph meets probabilistic generation model: A new perspective for graph disentanglement
期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:
Peng, Zouzhang
;
Zheng, Shuai
;
Zhu, Zhenfeng
;
Liu, Zhizhe
;
Cheng, Jian
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/02/22
Graph representation learning
Graph disentanglement
Probabilistic generation model
A deep latent space model for interpretable representation learning on directed graphs
期刊论文
NEUROCOMPUTING, 2024, 卷号: 576, 页码: 13
作者:
Yang, Hanxuan
;
Kong, Qingchao
;
Mao, Wenji
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/05/30
Graph representation learning
Deep latent space model
Model interpretability
Variational auto-encoder
Directed graph
A Novel Biologically Inspired Structural Model for Feature Correspondence
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:
Lu, Yan-Feng
;
Yang, Xu
;
Li, Yi
;
Yu, Qian
;
Liu, Zhi-Yong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Visualization
Biological system modeling
Biology
Brain modeling
Biological information theory
Task analysis
Strain
Appearance feature descriptor
biologically inspired model
feature correspondence
feature representation
graph matching (GM)
graph structure
Integrating two landscape connectivity models to quantify the priorities of wetland conservation and reclamation restoration at multiple scales: A case study in the Yellow River Delta
期刊论文
OCEAN & COASTAL MANAGEMENT, 2022, 卷号: 229, 页码: 9
作者:
Bi, Xiaoli
;
Wu, Yuru
;
Meng, Ling
;
Wu, Jingjing
;
Li, Yunzhao
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/08/17
Coastal reclamation
Graph theory model
Circuit theory model
Wetland protection and restoration
Identifying players in broadcast videos using graph convolutional network
期刊论文
Pattern Recognition, 2022, 卷号: 124
作者:
Feng Tao
;
Ji KF(季凯帆)
;
Bian Ang
;
Liu Chang
;
Zhang Jianzhou
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2022/01/04
Graph representation learning
Graph embedding
Pre-trained model
Player identification
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition
期刊论文
INFORMATION FUSION, 2022, 卷号: 80, 页码: 1-22
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/01/27
Meta-learning
Internet of Things
Graph model
Attention mechanisms
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge
期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 卷号: 30, 页码: 1665-1678
作者:
Mao, Qianren
;
Li, Jianxin
;
Peng, Hao
;
He, Shizhu
;
Wang, Lihong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/07/25
Fact consistency
graph neural network
language model
pointer network
text summarization
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:
Yajing, Wu
;
Xuebing, Yang
;
Yongqiang, Tang
;
Chenyang, Zhang
;
Guoping, Zhang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/04/06
Quantitative precipitation forecasting
graph convolutional networks (GCN)
spatiotemporal model
radar-rain gauge data merging
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
期刊论文
BMC Medical Informatics and Decision Making, 2021, 卷号: 21, 期号: Suppl 9
作者:
Lan,Yinyu
;
He,Shizhu
;
Liu,Kang
;
Zeng,Xiangrong
;
Liu,Shengping
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/28
Medical knowledge graph completion
Path-based knowledge reasoning
Textual semantic representation
Pre-trained language model
Learning to Model Relationships for Zero-Shot Video Classification
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 10, 页码: 3476-3491
作者:
Gao, Junyu
;
Zhang, Tianzhu
;
Xu, Changsheng
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/11/04
Zero-shot video classification
graph neural networks
zero-shot learning
deep attention model
©版权所有 ©2017 CSpace - Powered by
CSpace