34 citations · 82 across the 7 of their papers we have counts for
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cs.LG2024★ 2 cited
Improving Graph Neural Networks by Learning Continuous Edge Directions
Seong Ho Pahng, Sahand Hormoz
Graph Neural Networks (GNNs) traditionally employ a message-passing mechanism that resembles diffusion over undirected graphs, which often leads to homogenization of node features…
stat.ML2024
An efficient solution to Hidden Markov Models on trees with coupled branches
Farzan Vafa, Sahand Hormoz
Hidden Markov Models (HMMs) are powerful tools for modeling sequential data, where the underlying states evolve in a stochastic manner and are only indirectly observable. Tradition…