directed-graphs

This paper identifies that standard ridge regularization in potential recovery from flow on directed graphs collapses and reverses the ordering of the estimate due to gauge dependence. It proposes a gauge-invariant Dirichlet energy penalty that yields a parameter-insensitive solution and demonstrates robust dynamic range preservation on real clickstream data, with implications for preventing oversmoothing in graph neural networks.