AdS-GNN -- a Conformally Equivariant Graph Neural Network

19 May 2025

Papers citing "AdS-GNN -- a Conformally Equivariant Graph Neural Network"

23 / 23 papers shown

Title
EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions Ngoc-Quang Nguyen 73 0 0 07 Apr 2025
Does equivariance matter at scale? Johann Brehmer S. Behrends P. D. Haan Taco S. Cohen 106 15 0 30 Oct 2024
Conformal Fields from Neural Networks James Halverson Joydeep Naskar Jiahua Tian 56 1 0 18 Sep 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 109 15 0 22 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 129 16 0 15 Feb 2024
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 89 9 0 06 Nov 2023
Lie Group Decompositions for Equivariant Neural Networks Mircea Mironenco Patrick Forré AI4CE 88 8 0 17 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 111 3 0 06 Oct 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 67 30 0 04 Oct 2023
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 137 7 0 12 Dec 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf Anh Tuan Luu Dominique Beaini 94 219 0 16 Jun 2022
Equivariant Mesh Attention Networks Sourya Basu Jose Gallego-Posada Francesco Vigano J. Rowbottom Taco S. Cohen 3DPC MDE AI4CE 99 10 0 21 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 370 1,164 0 27 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 115 1,038 0 19 Feb 2021
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 78 13 0 21 Oct 2020
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 127 149 0 14 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 99 131 0 26 Sep 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 76 167 0 28 May 2019
Graph Convolutional Gaussian Processes Ian Walker Ben Glocker GNN 118 36 0 14 May 2019
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 194 442 0 24 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 576 20,353 0 30 Oct 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 468 1,825 0 25 Nov 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 201 1,949 0 24 Feb 2016