The November 2024 paper introduces **GNN101**, an open-source, web-based interactive visualization tool designed to help non-experts learn about **Graph Neural Networks (GNNs)**, whose complex nature often challenges beginners. This educational tool addresses limitations in existing resources by **seamlessly integrating mathematical formulas with visualizations** across multiple abstraction levels, from a model overview to detailed matrix calculations. GNN101 features **complementary views**—a node-link diagram for intuitive graph understanding and a matrix view for a comprehensive feature overview—to illustrate how GNNs process graph data and update node features. The authors detail the **design goals, implementation**, and initial deployment of GNN101, showing its usability and effectiveness in making GNN computations more intuitive and engaging for students.

Source:

https://arxiv.org/html/2411.17849v1