Theoretical Foundations and Practical Implementation of Graph Neural Networks
Introduction to Graph Data
Traditional deep learning models, such as Convolutional Neural Networks (CNNs), excel at processing Euclidean data like images and sequences, where data points have a regular structure and fixed neighbor definitions. However, many real-world datasets—social networks, molecular structures, and citation networks—are Non ...
Posted on Wed, 22 Jul 2026 16:37:41 +0000 by csueiras