January 13, 2024 article Open access A graph convolutional autoencoder approach to model order reduction for parametrized PDEs Journal of Computational Physics DOI: 10.1016/j.jcp.2024.112762 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 77 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Tackling multiphysics problems via finite element guided physics-informed operator learning 2026 Results in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Data-driven reduced order surrogate modeling for coronary in-stent restenosis 2024 Computer Methods and Programs in Biomedicine article Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Data-Driven Reduced Order Surrogate Modeling for Coronary In-Stent Restenosis 2024 SSRN Electronic Journal preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations 3 results References 0