Understanding the Basics of Graph Neural Networks
Graph Neural Networks (GNNs) emerge as a revolutionary branch of machine learning, enabling algorithms to analyze complex relational data structures, such as social networks or molecular graphs. This article delves into the essential elements required to develop effective learning algorithms that capitalize on graph structures.