Advancement in graph data mining: applications in unsupervised, continual, and few-shot learning

• 主要作者: Rakaraddi, Appan
• 其他作者: Lam Siew Kei
• 格式: Thesis-Doctor of Philosophy
• 語言: English
• 出版: Nanyang Technological University 2024
• 主題: Computer and Information Science; Graph neural networks; Continual learning; Few-shot learning
• 在線閱讀: https://hdl.handle.net/10356/176227
• 機構: Nanyang Technological University

Graph mining has proven to be extremely useful in analysing features and properties of real-world graphs. This enables a number of tasks including the prediction and evaluation of how information varies with changes in the link structure, generating and building models to extract properties such as...