A new method for nodal clustering in attributed graphs that combines low-dimensional node priors, a neural decoder, and graph-fused LASSO regularization on prior means, demonstrated via simulations on grid graphs and real data applications.
Statistical monitoring of european cross-border physi- cal electricity flows using novel temporal edge network processes
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Decoder-only Clustering in Attributed Graphs
A new method for nodal clustering in attributed graphs that combines low-dimensional node priors, a neural decoder, and graph-fused LASSO regularization on prior means, demonstrated via simulations on grid graphs and real data applications.