Abstract: The Graph Isomorphism (GI) problem has been extensively studied due to its significant applications. The most effective class of GI algorithms, i.e., canonical labeling algorithms, are ...
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Shortest paths research narrows a 25-year gap in graph algorithms
Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...
Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...
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The plan of the milestones agreed with ARIA. See attached documents Links to the repositories that might be relevant for the project: https://github.com/statusfailed ...
This repository contains the source code for our paper: Simulation of Graph Algorithms with Looped Transformers. It includes the network implementations used to simulate the following graph algorithms ...
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