Towards effective graph representations by leveraging geometric concepts

• Main Author: Lee, See Hian
• Other Authors: Tay Wee Peng
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Graph neural networks; Graph representation learning; Machine learning
• Online Access: https://hdl.handle.net/10356/177895
• Institution: Nanyang Technological University

The field of graph representation learning (GRL) is dedicated to the task of encoding graph-structured data into low-dimensional vectors, often referred to as embeddings. Obtaining effective representations for various graph-related tasks, such as node classification and link prediction, hinges on e...