Results 81 to 90 of about 18,832 (283)
Geosul, 2017 Este trabalho apresenta um mapeamento do uso e cobertura da terra da Ilha de Santa Catarina com base em aerofotografias de alta resolução espacial e na vetorização da Restituição Aerofotogramétrica do Instituto de Planejamento Urbano de Florianópolis ...
Jasiel Neves +3 more
doaj +1 more source
iLDA-SGCN: Identifying Associations Between Age-Related Diseases and Long Non-Coding RNAs Using Dual Graph Convolutional Networks. [PDF]
Aging CelliLDA‐SGCN integrates singular value decomposition and dual graph convolutional networks to predict lncRNA‐disease associations. It achieves superior performance on two benchmark datasets and identifies 33 candidate lncRNAs across 8 age‐related diseases.
Guo Y +8 more
europepmc +2 more sources
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Structure diagram of four-dimensional directed GCN model.
, 2023 Structure diagram of four-dimensional directed GCN model.
Chaoran Ning (17389718) +10 more
core +1 more source
Advanced Science, EarlyView.STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
A Simple Yet Effective SVD-GCN for Directed Graphs
, 2022 In this paper, we propose a simple yet effective graph neural network for directed graphs (digraph) based on the classic Singular Value Decomposition (SVD), named SVD-GCN.
Lin, Lequan +3 more
core
AIChE Journal, EarlyView.Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Co-GCN for Multi-View Semi-Supervised Learning
, 2020 In many real-world applications, the data have several disjoint sets of features and each set is called as a view. Researchers have developed many multi-view learning methods in the past decade.
Wang, Wei, Li, Wen-Tao, Li, Shu
core +1 more source
Structure diagram of four-dimensional directed GCN-LSTM model.
, 2023 Structure diagram of four-dimensional directed GCN-LSTM model.
Chaoran Ning (17389718) +10 more
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source