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Found 3 papers, 1 papers with code
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)
Crucial challenge in graph representations is identifying the importance of graph edges and their influence on overall network efficiency and information flow performance.
A Gaussian process latent force model for joint input-state estimation in linear structural systems
A novel methodology using Gaussian process latent force models is proposed to tackle the problem in a stochastic setting.
A Quantum Annealing Approach for Fault Detection and Diagnosis of Graph-Based Systems
Diagnosing the minimal set of faults capable of explaining a set of given observations, e. g., from sensor readouts, is a hard combinatorial optimization problem usually tackled with artificial intelligence techniques.
Quantum Physics
