中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29
作者:
Wang, Chunyang
;
Yang, Kui
;
Yang, Wei
;
Li, Runkui
;
Qiang, Haiyang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/02/19
Residual network
graph attention network
super-pixel segmentation
habitat quality
driving force analysis
Graph meets probabilistic generation model: A new perspective for graph disentanglement
期刊论文
OAI收割
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:5/0
  |  
提交时间:2024/02/22
Graph representation learning
Graph disentanglement
Probabilistic generation model
Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 15
作者:
Lv, Qiujie
;
Chen, Guanxing
;
Yang, Ziduo
;
Zhong, Weihe
;
Chen, Calvin Yu-Chian
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/04/09
Benchmark platform
cross-domain meta-learning
drug discovery
few examples
Meta-MolNet
molecular property
Indirect estimation of pediatric reference interval via density graph deep embedded clustering
期刊论文
OAI收割
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:
Zheng, Jianguo
;
Tang, Yongqiang
;
Peng, Xiaoxia
;
Zhao, Jun
;
Chen, Rui
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/27
Reference interval
Reference interval
Indirect estimation
Indirect estimation
Machine learning
Machine learning
Deep neural networks
Deep neural networks
Graph clustering
Graph clustering
Learning to Branch in Combinatorial Optimization With Graph Pointer Networks
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
作者:
Rui Wang
;
Zhiming Zhou
;
Kaiwen Li
;
Tao Zhang
;
Ling Wang
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/01/02
Branch-and-bound (B&B)
combinatorial optimization
deep learning
graph neural network
imitation learning
Stability and Generalization of Hypergraph Collaborative Networks
期刊论文
OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 184-196
作者:
Michael K. Ng
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/01/25
Hypergraphs, vertices, hyperedges, collaborative networks, graph convolutional neural networks (CNNs), stability, generalization guarantees
Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks
期刊论文
OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 257-271
作者:
Bo-Jing Feng, Xi Cheng, Hao-Nan Xu, Wen-Fang Xue
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/03
Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks
期刊论文
OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 272-282
作者:
Jing Hu
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/04/03
Conversational machine comprehension (MC), reading comprehension, question answering, graph neural networks (GNNs), natural language processing (NLP)
Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 647-660
作者:
Li, Yun-Heng
;
Liu, Kai-Yuan
;
Liu, Sheng-Lan
;
Feng, Lin
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/03/26
Feature extraction
Motion segmentation
Correlation
Convolution
Topology
Convolutional neural networks
Solid modeling
Skeleton-based temporal action segmentation
enhanced spatial graph structure
segmented encoding
Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 1, 页码: 261-274
作者:
Zhang, Haonan
;
Ren, Yuyang
;
Fu, Luoyi
;
Wang, Xinbing
;
Chen, Guihai
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/02/05
Graph contrastive learning
graph representation learning
node augmentation
self-supervised learning