A directed sheaf Laplacian and the DSNN architecture bring edge-orientation information into sheaf-based graph learning with modest-but-consistent benchmark gains.
Magnet: A neural network for directed graphs, 2021
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Sheaves Reloaded: A Directional Awakening
A directed sheaf Laplacian and the DSNN architecture bring edge-orientation information into sheaf-based graph learning with modest-but-consistent benchmark gains.