Robust deep learning on graphs using neural PDEs

• Main Author: Gui, Pengzhe
• Other Authors: Tay Wee Peng
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: https://hdl.handle.net/10356/172761
• Institution: 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...