Towards effective graph representations by leveraging geometric concepts

• 主要作者: Lee, See Hian
• 其他作者: Tay Wee Peng
• 格式: Thesis-Doctor of Philosophy
• 語言: English
• 出版: Nanyang Technological University 2024
• 主題: Computer and Information Science; Graph neural networks; Graph representation learning; Machine learning
• 在線閱讀: https://hdl.handle.net/10356/177895

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...