Papers

• Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories (2026)
  Ali Rayat et al.
  1.83
• Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories (2026)
  Ali Rayat et al.
  1.78
• Graph neural network force fields for adiabatic dynamics of lattice Hamiltonians (2026)
  Yunhao Fan et al.
  1.72
• Learning ground states of quantum Hamiltonians with graph networks (2021)
  Dmitrii Kochkov and Tobias Pfaff and Alvaro Sanchez-Gonzalez and Peter Battaglia and Bryan K. Clark
  —
• Deep learning extraction of band structure parameters from density of states: a case study on trilayer graphene (2022)
  Paul Henderson et al.
  —
• Pairing-based graph neural network for simulating quantum materials (2023)
  Di Luo et al.
  —