3 papers
cs.LG2026
Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data
Ru Geng, Panayotis Kevrekidis, Yixian Gao +2
Lattice Hamiltonian systems underpin models across condensed matter, nonlinear optics, and biophysics, yet learning their dynamics from data is obstructed by two unknowns: the inte…
math-ph2026
Vertex Centrality Reconstruction in an Inverse Problem for Information Diffusion
Yixian Gao, Songshuo Li, Yang Yang
We consider an inverse problem in information diffusion modeled by random walks on combinatorial graphs. The problem concerns reconstruction of vertex centrality from the distribut…
hep-lat2024
Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural Learning
Ru Geng, Yixian Gao, Jian Zu +1
A deep understanding of the intricate interactions between particles within a system is a key approach to revealing the essential characteristics of the system, whether it is an in…