Explainable graph classification with deep learning models

• المؤلف الرئيسي: Rajiv Balamurugan
• مؤلفون آخرون: Arijit Khan
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Science::Mathematics::Discrete mathematics::Graph theory; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/148008

Graph Classification is a promising area of deep learning, but it has a significant drawback. We need to understand the reasons behind the model’s predicted label of an input graph to trust the prediction, but these reasons are not supplied by Graph Classification models. Hence, Graph Classification...