Learnable Filters for Geometric Scattering Modules

15 August 2022

Guy Wolf

Papers citing "Learnable Filters for Geometric Scattering Modules"

21 / 21 papers shown

Title
The Manifold Scattering Transform for High-Dimensional Point Cloud Data Joyce A. Chew H. Steach Siddharth Viswanath Hau‐Tieng Wu M. Hirn Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 61 13 0 21 Jun 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 77 24 0 22 Jan 2022
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 144 23 0 04 Feb 2021
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 108 695 0 09 Jun 2020
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 84 157 0 05 Jun 2019
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 44 14 0 24 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 133 434 0 23 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 132 1,095 0 11 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 99 916 0 30 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 244 4,368 0 06 Mar 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 91 228 0 06 Jan 2019
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 89 113 0 07 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 259 7,705 0 01 Oct 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 197 2,838 0 22 Jan 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,496 0 04 Apr 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 343 1,839 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,298 0 24 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,388 0 03 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 365 7,681 0 30 Jun 2016
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 233 4,884 0 21 Dec 2013