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 ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...
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 ...
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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