Explainable graph classification with deep learning models

• 主要作者: Rajiv Balamurugan
• 其他作者: Arijit Khan
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2021
• 主題: Science::Mathematics::Discrete mathematics::Graph theory; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/148008
• 機構: Nanyang Technological University

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...