Introduction to Graph Neural Networks

by Jie Zhou and Zhiyuan Liu

Book Overview

Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent...

• Format: Paperback
• Language: English
• ISBN: 3031004590
• ISBN13: 9783031004599
• Release Date: March 2020
• Publisher: Springer
• Length: 109 Pages
• Weight: 0.51 lbs.
• Dimensions: 0.3" x 7.5" x 9.3"