Browsing by Subject "Graph Neural Network"
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Learning to solve NP-complete problems
(2019) [Thesis]Graph Neural Networks (GNN) are a promising technique for bridging differential programming and combinatorial domains. GNNs employ trainable modules which can be assembled in different configurations that reflect the ...