pith. sign in

and Torrisi, Steven B

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

fields

cs.LG 1

years

2026 1

verdicts

UNVERDICTED 1

clear filters

representative citing papers

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond

cs.LG · 2026-06-02 · unverdicted · novelty 7.0

GFFMERGE formulates GNN force field merging as a convex embedding-alignment problem with an analytical solution, recovering near joint-training performance on MD17, MD22, LiPS20 and other benchmarks while delivering 5-27x speedups.

citing papers explorer

Showing 1 of 1 citing paper after filters.

  • GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond cs.LG · 2026-06-02 · unverdicted · none · ref 60

    GFFMERGE formulates GNN force field merging as a convex embedding-alignment problem with an analytical solution, recovering near joint-training performance on MD17, MD22, LiPS20 and other benchmarks while delivering 5-27x speedups.