Výsledky vyhľadávania - Graph Neural Network Models and Applications

Graph Neural Networks for Evaluating the Reliability and Resilience of Infrastructure Systems: A Systematic Review of Models, Applications, and Future Directions

Autori: Tong Liu Fangyu Liu

Zdroj: IEEE Access, Vol 13, Pp 164883-164904 (2025)

Predmety: Graph neural network, critical infrastructure systems, reliability analysis, resilience analysis, interdependency, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11168479/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/d4de7c3e57504feea52486f008b4bc5f

LGLoc as a new language model-driven graph neural network for mRNA localization

Autori: Abadi, Saeedeh Akbari Rokn Shahbakhsh, Aref Koohi, Somayyeh

Zdroj: Scientific Reports. 15(1)

Predmety: mRNA, Machine learning, Graph neural network, Language model, BERT, Subcellular localization

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368416
https://doi.org/10.1038/s41598-025-03485-8

Review on Application of Spatial-Temporal Graph Neural Network in PM2.5 ConcentrationForecasting

Autori: TANG Boyuan, LI Qi

Zdroj: Jisuanji kexue, Vol 52, Iss 8, Pp 71-85 (2025)

Predmety: pm2.5 concentration forecasting, deep learning, graph neural network, spatial-temporal correlation, multisource data, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis súboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-8-71.pdf; https://doaj.org/toc/1002-137X

Prístupová URL adresa: https://doaj.org/article/59a732f31a1247ab813e1ad94e3aff54

Melting temperature prediction using a graph neural network model : From ancient minerals to new materials

Autori: Hon, Qi-Jun Ushakov, Sergey V. van de Walle, Axel a ďalší

Zdroj: Proceedings of the National Academy of Sciences of the United States of America, 2022 Sep 01. 119(36), 1-5.

Prístupová URL adresa: https://www.jstor.org/stable/27206931

Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

Autori: Romor, Francesco Galarce, Felipe Brüning, Jan a ďalší

Témy: Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2502.12097

Leveraging graph neural networks for optimization and traffic compression in network digital twins

Autori: Almasan Puscas, Felician Paul

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Cabellos Aparicio, Alberto, Barlet Ros, Pere

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Àrees temàtiques de la UPC::Informàtica

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/690106
https://dx.doi.org/10.5821/dissertation-2117-402842

Explainable Graph Neural Networks for Power Grid Fault Detection

Autori: Richard Bosso Corey Chang Mahdi Zarif a ďalší

Zdroj: IEEE Access, Vol 13, Pp 129520-129533 (2025)

Predmety: Fault location detection, graph neural network (GNN), Fidelity, characterization score, model explainability and transparency, power grids, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11088107/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/afccfe05723c4bf2ac5d5e303e4f37e0

Predicting microbial community structure and temporal dynamics by using graph neural network models.

Autori: Andersen, Kasper Skytte Zhao, Kai Agerskov, Alexander de Linde a ďalší

Zdroj: Nature Communications; Dec2025, Vol. 16 Issue 1, p1-14, 14p

Predmety: GRAPH neural networks, WASTEWATER treatment, TEMPORAL databases, PROCESS optimization, MICROORGANISM populations, MICROBIAL communities, BACTERIAL population

DGAT: a dynamic graph attention neural network framework for EEG emotion recognition.

Autori: Ding, Shihang Wang, Kaixuan Jiang, Wenhao a ďalší

Zdroj: Frontiers in Psychiatry; 2025, p1-14, 14p

Predmety: EMOTION recognition, ELECTROENCEPHALOGRAPHY, AFFECTIVE computing, BRAIN-computer interfaces, GRAPH neural networks

Graph neural networks for predicting metal-ligand coordination of transition metal complexes.

Autori: Toney, Jacob W. St. Michel, Roland G. Garrison, Aaron G. a ďalší

Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 10/14/2025, Vol. 122 Issue 41, p1-12, 59p

Predmety: GRAPH neural networks, TRANSITION metal complexes, DATABASES, MOLECULAR models, VIRTUAL high-throughput screening (Drug development), METAL complexes, DENSITY functional theory

Optimization and Benefit Assessment of Production Supply Chain Networks Using Graph Neural Network Models

Autori: Dong, Ting Samonte, Mary Jane C.

Zdroj: Journal of computing and information technology; ISSN 1846-3908 (Online); ISSN 1330-1136 (Print); ISSN-L 1330-1136; CODEN CJCTEM; Volume 32; Issue 1

Témy: Supply chain network optimization, Graph Neural Network (GNN), Node role type awareness, Hierarchical factor analysis, Benefit assessment, text, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://doi.org/10.20532/cit.2024.1005804
https://hrcak.srce.hr/319262
https://hrcak.srce.hr/file/461335
info:eu-repo/semantics/altIdentifier/doi/10.20532/cit.2024.1005804

Network modeling using graph neural networks

Autori: Ferriol Galmés, Miquel

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Cabellos Aparicio, Alberto, Barlet Ros, Pere

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Àrees temàtiques de la UPC::Informàtica

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/693352
https://dx.doi.org/10.5821/dissertation-2117-422057

Equivariant graph neural networks in drug discover: from property prediction to molecule generation

Autori: Cremer, Julian

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida

Thesis Advisors: De Fabritiis, Gianni

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Equivariant graph neural networks, Drug discovery, Generative chemistry, Diffusion, Structure-based drug design, Xarxes neuronals de gràfics equivariants, Descobriment de drogues, Química generativa, Difusió, Disseny de fàrmacs basat en l'estructura

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/692718

Learning particle dynamics: from diffusion to interactions

Autori: Fernández Fernández, Gabriel

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Institut de Ciències Fotòniques

Thesis Advisors: Lewenstein, Maciej, Manzo, Carlo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Unsupervised, Machine Learning, Variational Autoencoder, Feature Learning, Representation Learning, Autoregressive Model, Data Analysis, Knowledge Discovery, Interpretability, Biophysics, Anomalous Diffusion, Single Trajectory Characterization, Time Series, Stochastic Model, Brownian Motion, Fractional Brownian Motion, Scaled Brownian Motion, Confined Brownian Motion, Graph Neural Network, Lennard-Jones, Non-reciprocal Force, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Àrees temàtiques de la UPC::Informàtica, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 004 - Informàtica, 577 - Bioquímica. Biologia molecular. Biofísica

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/696076
https://dx.doi.org/10.5821/dissertation-2117-448803

A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification

Autori: Corradini, Flavio Gori, Marco Lucheroni, Carlo a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Physics - Data Analysis, Statistics and Probability, text

URL: http://arxiv.org/abs/2410.22377

Representation Learning Based on Ordinary Differential Equations for Dynamic Networks.

Autori: Li, Dongjie Li, Dong Lian, Guang

Zdroj: ACM Transactions on Knowledge Discovery from Data; May2025, Vol. 19 Issue 4, p1-23, 23p

Predmety: GRAPH neural networks, ORDINARY differential equations, ARTIFICIAL neural networks, DYNAMICAL systems, ERROR functions, CONTINUOUS time models

Knowledge graph-based graph neural network models for multi-perspective modeling of group preferences.

Autori: Wang, Zongyu Li, Yan

Zdroj: Electronic Commerce Research; Aug2025, Vol. 25 Issue 4, p2985-3008, 24p

Predmety: KNOWLEDGE graphs, GRAPH neural networks, RECOMMENDER systems, MACHINE learning, ONLINE social networks, INTENTION

Optimization and Benefit Assessment of Production Supply Chain Networks Using Graph Neural Network Models

Autori: Ting Dong Mary Jane C. Samonte

Zdroj: Journal of Computing and Information Technology, Vol 32, Iss 1, Pp 15-31 (2024)

Predmety: Supply chain network optimization, Graph Neural Network (GNN), Node role type awareness, Hierarchical factor analysis, Benefit assessment, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://hrcak.srce.hr/file/461335; https://doaj.org/toc/1846-3908

Prístupová URL adresa: https://doaj.org/article/72c36026c2d546d8b1ef981dd021b2c7

Application of Interpretable Group-embedded Graph Neural Networks for Pure Compound Properties

Autori: Aouichaoui, Adem R.N. Fan, Fan Abildskov, Jens a ďalší

Zdroj: Aouichaoui , A R N , Fan , F , Abildskov , J & Sin , G 2023 , ' Application of Interpretable Group-embedded Graph Neural Networks for Pure Compound Properties ' , Computers and Chemical Engineering , vol. 176 , 108291 .

Témy: Deep-learning, Graph neural networks, Group-contribution models, Interpretability, Pure compound properties, Thermophysical properties, article

URL: https://orbit.dtu.dk/en/publications/47e9bea6-6a58-4f81-b73c-3d3c3d31776d
https://doi.org/10.1016/j.compchemeng.2023.108291
https://backend.orbit.dtu.dk/ws/files/325378223/1_s2.0_S0098135423001618_main.pdf

Personalized Recommendation System for E-Commerce Websites Based on Multi-Scale Graph Neural Network.

Autori: Wang, Yongping Wang, Lijuan

Zdroj: Journal of Circuits, Systems & Computers. 8/1/2025, Vol. 34 Issue 12, p1-28. 28p.

Predmety: *GRAPH neural networks, *ARTIFICIAL neural networks, *RECOMMENDER systems, *PRODUCT attributes, *WEBSITES