Deep Learning on Graphs

This book covers comprehensive contents in developing deep learning techniques for graph structured data with a specific focus on Graph Neural Networks (GNNs). The foundation of the GNN models are introduced in detail including the two main building operations: graph filtering and pooling operations. We then discuss the robustness and scalability of the GNNs, which are extremely important for util

[misshiki]

英語書籍。「The Entire Book ［preprint］」からダウンロードできる。