Higher-Rank Irreducible Cartesian Tensors for Equivariant Message
Passing

Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing

23 May 2024

Viktor Zaverkin

Francesco Alesiani

Takashi Maruyama

Federico Errica

Henrik Christiansen

Makoto Takamoto

Mathias Niepert

Papers citing "Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing"

8 / 8 papers shown

Title
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems Alexander Windmann Henrik S. Steude Daniel Boschmann Oliver Niggemann OOD AI4TS 33 0 0 04 Apr 2025
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations H. Christiansen Takashi Maruyama Federico Errica Viktor Zaverkin M. Takamoto Francesco Alesiani 75 0 0 26 Mar 2025
Geometric Kolmogorov-Arnold Superposition Theorem Francesco Alesiani Takashi Maruyama H. Christiansen Viktor Zaverkin 57 0 0 23 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks D. M. Nguyen Nina Lukashina Tai Nguyen An T. Le TrungTin Nguyen Nhat Ho Jan Peters Daniel Sonntag Viktor Zaverkin Mathias Niepert 33 5 0 03 Feb 2024
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials Viktor Zaverkin Johannes Kastner 34 67 0 15 Sep 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 203 1,238 0 08 Jan 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016