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Found 3 papers, 1 papers with code
Distinguishing power-law uniform random graphs from inhomogeneous random graphs through small subgraphs
We investigate the asymptotic number of induced subgraphs in power-law uniform random graphs.
Combinatorics Probability
SciSports: Learning football kinematics through two-dimensional tracking data
After training, the Variational Autoencoders generated trajectories that are difficult to distinguish, visually, from the data.
Efficient inference in stochastic block models with vertex labels
Whenever this function has multiple fixed points, the belief propagation algorithm may not perform optimally.
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