Equivariance Through Parameter-Sharing

27 February 2017

Papers citing "Equivariance Through Parameter-Sharing"

20 / 70 papers shown

Title
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 74 850 0 06 Mar 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 32 132 0 20 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 110 48 0 07 Feb 2020
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 27 24 0 18 Nov 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 27 29 0 09 Oct 2019
Solving Continual Combinatorial Selection via Deep Reinforcement Learning Hyungseok Song Hyeryung Jang H. Tran Se-eun Yoon Kyunghwan Son Donggyu Yun Hyoju Chung Yung Yi 18 10 0 09 Sep 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 275 0 29 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 29 26 0 27 May 2019
Universal Invariant and Equivariant Graph Neural Networks Nicolas Keriven Gabriel Peyré 33 287 0 13 May 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 257 0 06 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 404 0 11 Feb 2019
Decentralization of Multiagent Policies by Learning What to Communicate James Paulos Steven W. Chen Daigo Shishika Vijay Kumar 19 30 0 24 Jan 2019
Stochastic Deep Networks Gwendoline de Bie Gabriel Peyré Marco Cuturi 30 21 0 19 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 21 188 0 05 Nov 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 45 495 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 56 266 0 24 Jun 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
$$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space$ $\mathcal{G}$ -SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space Qi Meng Shuxin Zheng Huishuai Zhang Wei Chen Zhi-Ming Ma Tie-Yan Liu 35 38 0 11 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 62 488 0 11 Feb 2018