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</html><description>Description: Geometric deep learning is a field that extends deep learning methods to non-Euclidean domains such as graphs and manifolds. Unlike traditional approaches that operate in Euclidean spaces, geometric deep learning focuses on the intrinsic structure of data, allowing models to learn more effective representations in complex contexts. This approach is based on graph theory [&hellip;]</description></oembed>
