Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
Lobachevsky University scientists are implementing a research project "Algorithmic, Complex and Structural Problems of Graph Theory and Discrete Optimization". At the head of the research team is ...
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