Graph neural differential equation networks for improved representation learning and robustness

• Main Author: Zhao, Kai
• Other Authors: Tay Wee Peng
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Engineering; Graph neural networks; Robustness; Machine learning
• Online Access: https://hdl.handle.net/10356/182340
• Institution: Nanyang Technological University

Graph representation learning distills the complex structures of graphs into tractable, low-dimensional vector spaces, capturing essential topological and attribute-based properties. Graph Neural Networks (GNNs) have become a pivotal tool in this domain, leveraging graph structures to iteratively up...