AI Explained – Graph Neural Networks | How AI Uses Graphs to Accelerate Innovation
Graph Neural Networks (GNNs), are transforming the way we use AI to analyze complex data. Unlike traditional deep learning models that excel at tasks like image recognition, GNNs are uniquely designed to handle graph data – information structured as networks of relationships. That sets them up to have a huge impact on the fields of drug discovery and materials science - allowing researchers to simulate and predict the behavior of new molecules and materials before they’re even created in the lab.
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Graph Neural Networks (GNNs), are transforming the way we use AI to analyze complex data. Unlike traditional deep learning models that excel at tasks like image recognition, GNNs are uniquely designed to handle graph data – information structured as networks of relationships. That sets them up to have a huge impact on the fields of drug discovery and materials science – allowing researchers to simulate and predict the behavior of new molecules and materials before they’re even created in the lab.
Want to learn more about AI? Checkout our AI Playlist: https://www.youtube.com/playlist?list=PLMsyYLfyvI2EhjezKzgv1pWtYqy-w1FzG
Curious about SandboxAQ? Visit https://www.sandboxaq.com/
