Equivariant Subgraph Aggregation Networks

6 October 2021

Beatrice Bevilacqua

Fabrizio Frasca

Derek Lim

Balasubramaniam Srinivasan

Papers citing "Equivariant Subgraph Aggregation Networks"

28 / 128 papers shown

Title
Asynchronous Neural Networks for Learning in Graphs Lukas Faber Roger Wattenhofer GNN 14 3 0 24 May 2022
Learning Generalized Policies Without Supervision Using GNNs Simon Ståhlberg Blai Bonet Hector Geffner OffRL 19 27 0 12 May 2022
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes Renaud Fabre Otmane Azeroual P. Bellot Joachim Schöpfel D. Egret 8 0 0 03 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 31 67 0 16 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 27 66 0 04 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 38 39 0 25 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 30 138 0 25 Feb 2022
Message passing all the way up Petar Velickovic 109 63 0 22 Feb 2022
1-WL Expressiveness Is (Almost) All You Need Markus Zopf 17 11 0 21 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 32 14 0 31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 95 45 0 30 Jan 2022
Generative Coarse-Graining of Molecular Conformations Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess E. Smidt Yusu Wang Jian Tang Rafael Gómez-Bombarelli 16 34 0 28 Jan 2022
Convergence of Invariant Graph Networks Chen Cai Yusu Wang 50 4 0 25 Jan 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 35 110 0 18 Dec 2021
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 25 20 0 14 Dec 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin L. Akoglu Neil Shah GNN 22 160 0 07 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 122 78 0 01 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,103 0 27 Apr 2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph Chen Cai Nikolaos N. Vlassis Lucas Magee R. Ma Zeyu Xiong B. Bahmani T. Wong Yusu Wang WaiChing Sun 16 16 0 12 Apr 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 76 27 0 17 Feb 2021
The expressive power of kth-order invariant graph networks Floris Geerts 126 37 0 23 Jul 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 170 170 0 09 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 913 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 0 09 Jun 2018
Image Generation from Scene Graphs Justin Johnson Agrim Gupta Li Fei-Fei GNN 221 815 0 04 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016