Universal Invariant and Equivariant Graph Neural Networks

13 May 2019

Papers citing "Universal Invariant and Equivariant Graph Neural Networks"

50 / 71 papers shown

Title
Lie Group Symmetry Discovery and Enforcement Using Vector Fields Ben Shaw Sasidhar Kunapuli A. Magner Kevin R. Moon 25 0 0 13 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 29 0 0 13 May 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 73 6 0 04 Mar 2025
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 77 6 0 12 Jul 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 37 0 0 23 Feb 2024
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 13 0 0 09 Dec 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 49 7 0 21 Apr 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 33 63 0 30 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 45 11 0 30 Dec 2022
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 19 7 0 19 Dec 2022
Graph Convolutional Neural Networks as Parametric CoKleisli morphisms Bruno Gavranović M. Villani GNN 84 0 0 01 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 19 10 0 29 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 25 1 0 06 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 31 84 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 60 31 0 25 Sep 2022
Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan Yi Liu Yu-Ching Lin Shuiwang Ji AI4TS 88 84 0 23 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
Graph Neural Network Based Node Deployment for Throughput Enhancement Yifei Yang Dongmian Zou Xiaofan He 13 5 0 19 Aug 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 23 22 0 26 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 38 187 0 06 Jul 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 24 16 0 05 Jul 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 16 18 0 11 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 27 44 0 02 Jun 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 21 39 0 05 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Permutation Invariant Representations with Applications to Graph Deep Learning R. Balan Naveed Haghani M. Singh 18 25 0 14 Mar 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 16 26 0 07 Mar 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 27 31 0 03 Mar 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 43 139 0 25 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 22 210 0 05 Feb 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model? Yifan Hou Guoji Fu Mrinmaya Sachan KELM 33 1 0 02 Feb 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 34 38 0 19 Jan 2022
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 26 19 0 30 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 17 8 0 22 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 49 81 0 20 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 35 2 0 05 Nov 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei-Neng Chen Bin Shao Tie-Yan Liu 48 79 0 26 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 C. Pehlevan 13 5 0 14 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 24 90 0 11 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin L. Akoglu Neil Shah GNN 24 160 0 07 Oct 2021
Training Stable Graph Neural Networks Through Constrained Learning J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 29 12 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 48 174 0 06 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 127 78 0 01 Oct 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 23 0 0 06 Sep 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 64 0 12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 13 121 0 08 Jun 2021