Graph Neural Networks
**Graph Neural Networks**
What is Graph Neural Networks?
Graph Neural Networks (GNNs) are a class of neural networks designed to operate on graph-structured data. Unlike traditional neural networks that process data in regular grids or sequences, GNNs can handle complex relationships between entities represented as nodes and edges in a graph. They are commonly used for tasks such as node classification, link prediction, and graph classification, finding applications in areas like social network analysis, drug discovery, and recommendation systems.
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