June 24, 2025 article A graph convolutional LSTM approach for modeling nonlinear chemical process networks using spatial–temporal data Computers & Chemical Engineering DOI: 10.1016/j.compchemeng.2025.109242 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 9 References 2 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 Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids 2023 Computers & Chemical Engineering article Chemical Engineering Ionic liquids properties and applications Open access 86 citations Physical pooling functions in graph neural networks for molecular property prediction 2023 Computers & Chemical Engineering article Computer Science Computational Drug Discovery Methods Open access 59 citations 2 results