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Found 4 papers, 3 papers with code
Network comparison and the within-ensemble graph distance
Quantifying the differences between networks is a challenging and ever-present problem in network science.
Physics and Society Social and Information Networks
Deep learning of contagion dynamics on complex networks
Forecasting the evolution of contagion dynamics is still an open problem to which mechanistic models only offer a partial answer.
Detecting structural perturbations from time series with deep learning
Small disturbances can trigger functional breakdowns in complex systems.
Phase transition in the recoverability of network history
Network growth processes can be understood as generative models of the structure and history of complex networks.
