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Ioannis Pitas (AUTH)
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This lecture overviews Graph Neural Networks that has many applications in Deep Learning, Signal and Video Analysis, Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Introduction to Graphs. Neural Networks. Graph Convolutional Networks (GCN). Recurrent Graph Neural Networks (RGNN). Graph Auto-Encoders. Spatial-Temporal Graph Neural Networks. GNN Applications.
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