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In this video on Introduction to Graph Neural Networkwe will learn about what is a graph, why it is hard to analyze a graph, what are graph neural networks, types of GNNs, Pros & cons of GNNs, and the end we will see some applications of GNNs. Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding the information of individual elements as nodes and their relationships as edges — GNNs learn to capture patterns within the graph.

Below are the topics covered in this What Are Graph Neural Networks Video:

00:00 Graph Neural Networks(GNNs)
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