Results 191 to 200 of about 56,136 (229)

Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks. [PDF]

NAR Genom Bioinform
Wang Y, Cheng J.
europepmc   +1 more source

The design space of E(3)-equivariant atom-centred interatomic potentials. [PDF]

Nat Mach Intell
Batatia I, Batzner S, Kovács DP, Musaelian A, Simm GNC, Drautz R, Ortner C, Kozinsky B, Csányi G.   +8 more
europepmc   +1 more source

Deep learning methods for 2D material electronic properties.

Digit Discov
Mishchenko A, Bhattacharya A, Wang X, Pentz HK, Wei Y, Yang Q.   +5 more
europepmc   +1 more source

Computation of simple invariant solutions in fluid turbulence with the aid of deep learning. [PDF]

Nonlinear Dyn
Page J.
europepmc   +1 more source

Fast and Fourier features for transfer learning of interatomic potentials. [PDF]

NPJ Comput Mater
Novelli P, Meanti G, Buigues PJ, Rosasco L, Parrinello M, Pontil M, Bonati L.   +6 more
europepmc   +1 more source

A novel approach to graph distinction through GENEOs and permutants. [PDF]

Sci Rep
Bocchi G, Ferri M, Frosini P.
europepmc   +1 more source

On the space of equivariant local maps

, 2015
Piotr Bartłomiejczyk
openalex   +2 more sources

Assessing zero-shot generalisation behaviour in graph-neural-network interatomic potentials.

Digit Discov
Ben Mahmoud C, El-Machachi Z, Gierczak KA, Gardner JLA, Deringer VL.   +4 more
europepmc   +1 more source

Discovering fully semantic representations via centroid- and orientation-aware feature learning. [PDF]

Nat Mach Intell
Cha J, Park J, Pinilla S, Morris KL, Allen CS, Wilkinson MI, Thiyagalingam J.   +6 more
europepmc   +1 more source