Researchers report that a multi-scale graph neural network called NeuroMGCN improves SAT phase prediction and raises solving rates by 4.1 and 5.2 percent over Kissat in the SATCOMP-2023 and ...
A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent ...
Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...
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