On Universal Equivariant Set Networks

6 October 2019

Papers citing "On Universal Equivariant Set Networks"

42 / 42 papers shown

Title
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 53 1 0 14 Mar 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xuben Wang Muhan Zhang 107 0 0 04 Feb 2025
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction Zhao Xu Haiyang Yu Montgomery Bohde Shuiwang Ji 47 0 0 06 Nov 2024
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 207 0 0 25 Sep 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification Yijia Zheng M. Worring DiffM 48 1 0 23 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 57 1 0 22 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 44 4 0 05 May 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 0 21 Apr 2024
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis Jason J. Yu Tristan Aumentado-Armstrong Fereshteh Forghani Konstantinos G. Derpanis Marcus A. Brubaker 41 5 0 28 Feb 2024
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 73 16 0 04 Dec 2023
Learning Symmetrization for Equivariance with Orbit Distance Minimization Tien Dat Nguyen Jinwoo Kim Hongseok Yang Seunghoon Hong 32 3 0 13 Nov 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 10 0 0 01 Sep 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Samantha Chen Yusu Wang 20 3 0 01 Aug 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 27 3 0 08 Jul 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 102 24 0 10 Jun 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 28 31 0 22 Feb 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong-Son Hy Rose Yu Yusu Wang 41 51 0 27 Jan 2023
Unifying O(3) Equivariant Neural Networks Design with Tensor-Network Formalism Zimu Li Zihan Pengmei Han Zheng Erik H. Thiede Junyu Liu Risi Kondor 29 2 0 14 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 44 62 0 11 Nov 2022
Graph Neural Network with Local Frame for Molecular Potential Energy Surface Xiyuan Wang Muhan Zhang 38 9 0 01 Aug 2022
Effective and Interpretable Information Aggregation with Capacity Networks Markus Zopf 27 0 0 25 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 30 33 0 14 Jul 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 27 18 0 11 Jun 2022
Exponential Separations in Symmetric Neural Networks Aaron Zweig Joan Bruna 32 7 0 02 Jun 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 29 39 0 05 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 42 67 0 04 Apr 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 49 141 0 25 Feb 2022
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Alexander Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten M. Borgwardt GNN 43 112 0 18 Dec 2021
Equivariant and Invariant Reynolds Networks Akiyoshi Sannai M. Kawano Wataru Kumagai 51 5 0 15 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 18 5 0 14 Oct 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 31 0 0 06 Sep 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 38 54 0 05 Jul 2021
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 38 79 0 06 Oct 2020
Expressive Power of Invariant and Equivariant Graph Neural Networks Waïss Azizian Marc Lelarge 28 111 0 28 Jun 2020
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 31 119 0 26 Jun 2020
Distribution-Based Invariant Deep Networks for Learning Meta-Features Gwendoline de Bie Herilalaina Rakotoarison Gabriel Peyré Michèle Sebag OOD 23 1 0 24 Jun 2020
Normalized Attention Without Probability Cage Oliver Richter Roger Wattenhofer 14 21 0 19 May 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 16 35 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 30 132 0 20 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 100 48 0 07 Feb 2020
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces Akiyoshi Sannai Masaaki Imaizumi M. Kawano MLT 28 29 0 15 Oct 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018