A Gentle Introduction to Graph Neural Networks: Unveiling the Power of Graph Data
2024-12-20
This article provides an accessible introduction to Graph Neural Networks (GNNs). It begins by explaining graph data and its real-world applications, such as social networks, molecular structures, and text. The article then delves into the core components of GNNs, including message passing, pooling operations, and various types of graph data. By building a modern GNN model step-by-step, it clarifies the role and motivation behind each component's design. Finally, it offers an interactive GNN playground, allowing readers to experience firsthand the construction and prediction process of a GNN model, deepening their understanding.
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