GNN-101

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Interactive visualization tool for understanding Graph Neural Networks.

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About this project

GNN 101 is an educational tool designed for the interactive learning of Graph Neural Networks (GNNs). It simplifies complex structures through visualizations and integrates mathematical formulas with engaging graphics. Available in web browsers and open-source, GNN 101 provides users with an intuitive grasp of GNN computations and their implications for graph nodes.

GNN-101 is an innovative educational tool designed to facilitate the visual learning of Graph Neural Networks (GNNs) directly in web browsers. Aimed at bridging the gap for non-experts, GNN-101 simplifies the intricate concepts and computations associated with GNNs through interactive visualizations.

Key Features

Intuitive Visualizations: GNN-101 presents a unique combination of mathematical formulas and visual components, allowing users to grasp complex GNN structures easily. The application supports multiple levels of abstraction, from general overviews to detailed animations that illustrate matrix calculations.
Dual View Options: Users can toggle between two complementary views: a node-link view that visualizes graph data intuitively, and a matrix view that provides a comprehensive overview of all features and transformations across layers. This flexibility enhances understanding and engagement.
Educational Accessibility: As an open-source project, GNN-101 ensures that cutting-edge GNN education is accessible to everyone. It requires no installation, making it straightforward to use directly in web browsers.

Learn More

To delve deeper into the research behind GNN-101, refer to the paper available on arXiv.

Explore the world of Graph Neural Networks with GNN-101 and unlock the potential of visual learning.