<ul><li>Graph Neural Networks, or GNNs, are a new approach to analyzing complex, highly interrelated data sets.</li><li>Unlike conventional ML and deep learning techniques, GNNs allow for the expression of relationships and interactions within the data.</li><li>GNNs have gained significant popularity in both AI research and industry applications as they focus on building relations and structures within data.</li><li>Intelligence is not just about objects, but also about connections and relations, which GNNs excel at capturing.</li></ul>

Graph Neural Networks: The Future of Complex Data Analysis

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