3 papers
cs.LG2025
DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
Seong Ho Pahng, Guoye Guan, Benjamin Fefferman +1
Biological systems can form complex three-dimensional structures through the collective behavior of agents that share a common update rule and operate without central control. How…
cs.LG2024
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…
physics.comp-ph2020
Predicting ground state configuration of energy landscape ensemble using graph neural network
Seong Ho Pahng, Michael P. Brenner
Many scientific problems seek to find the ground state in a rugged energy landscape, a task that becomes prohibitively difficult for large systems. Within a particular class of pro…