Results 221 to 230 of about 5,698,498 (295)

A novel graph convolutional neural network for predicting interaction sites on protein kinase inhibitors in phosphorylation. [PDF]

Sci Rep, 2022
Wang F, Chen YT, Yang JM, Akutsu T.
europepmc   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD. [PDF]

Neuroimage, 2022
Zhao K, Duka B, Xie H, Oathes DJ, Calhoun V, Zhang Y.   +5 more
europepmc   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism. [PDF]

Front Comput Neurosci
Chen W, Liao Y, Dai R, Dong Y, Huang L.
europepmc   +1 more source

Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes. [PDF]

Sci Rep, 2022
Asadzadeh S, Yousefi Rezaii T, Beheshti S, Meshgini S.   +3 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Attention aware edge-node exchange graph neural network

Dianxin kexue
An attention aware edge-node exchange graph neural network (AENN) model was proposed, which used edge-node switched convolutional graph neural network method for graph encoding in a graph structured data representation framework for semi supervised ...
Ruiqin WANG, Yimin HUANG, Qishun JI, Chaoyi WAN, Zhifeng ZHOU   +4 more
doaj  

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network. [PDF]

Neural Plast
Hu Y, Ran J, Qiao R, Xu J, Xu J, Tan C, Hu L, Tian Y.   +7 more
europepmc   +1 more source

Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network. [PDF]

Front Comput Neurosci, 2022
Saikumar K, Rajesh V, Srivastava G, Lin JC.   +3 more
europepmc   +1 more source