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Temporal Graph Neural Networks
Introduction Due to the increasing connectivity in the world, graph data has manifested itself in many contexts, particularly in recent years. Analyzing interactions within graphs…
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Materials as Graphs
Introduction Graph Neural Networks (GNNs) have emerged as a critical tool for modeling complex relationships and interactions in data, particularly in fields such as social…
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De Bruijn Graphs
Introduction De Bruijn graphs, named after Dutch mathematician Nicolaas Govert de Bruijn, are invaluable in both computer science and bioinformatics. These graphs efficiently represent overlaps…
Tutorials
Kurban Intelligence Lab 