Robust deep learning on graphs using neural PDEs

• المؤلف الرئيسي: Gui, Pengzhe
• مؤلفون آخرون: Tay Wee Peng
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2023
• الموضوعات: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172761
• المؤسسة: Nanyang Technological University

Neural Partial Differential Equations(Neural PDEs) offer a data-driven method for modeling and solving high-dimensional PDE problems by combining the robust representation capabilities of deep learning with the traditional framework of partial differential equations (PDEs). This approach combines th...