Gradient boosted graph convolutional network on heterophilic graph

• المؤلف الرئيسي: Seah, Ming Yang
• مؤلفون آخرون: Tay Wee Peng
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Engineering; Gradient; Boosting; Convolutional
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/176770
• المؤسسة: Nanyang Technological University

Graph Neural Networks (GNNs) are impressive models that have been highly successful in performing graphical analysis and learning. However, GNNs are known to be outstanding in learning from homophilic graphs but are subpar in learning from heterophilic graphs. On the other hand, Gradient Boosted Dec...