Understanding Graph Neural Networks (GNNs): Intro for Beginners

Graph Neural Networks (GNNs) are a class of neural network architectures designed to operate on graph-structured data. These networks are tailored to analyze and learn from the intricate interconnections between nodes within a graph. GNNs enable nodes in a graph to learn and share information with their neighboring nodes. This allows them to capture and utilize information from connected entities.

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