Separation Power of Equivariant Neural Networks

Separation Power of Equivariant Neural Networks

13 June 2024

Bruno Lepri

Papers citing "Separation Power of Equivariant Neural Networks"

7 / 7 papers shown

Title
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 29 2 0 17 Jan 2024
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness Bohang Zhang Jingchu Gai Yiheng Du Qiwei Ye Di He Liwei Wang 41 33 0 16 Jan 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
The Open Catalyst 2020 (OC20) Dataset and Community Challenges L. Chanussot Abhishek Das Siddharth Goyal Thibaut Lavril Muhammed Shuaibi ... Brandon M. Wood Junwoong Yoon Devi Parikh C. L. Zitnick Zachary W. Ulissi 213 498 0 20 Oct 2020
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 90 48 0 07 Feb 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016