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

• المؤلف الرئيسي: Rakaraddi, Appan
• مؤلفون آخرون: Lam Siew Kei
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Graph neural networks; Continual learning; Few-shot learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/176227

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...