Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
Scattering Networks

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks

22 January 2022

Frederik Wenkel

Michael Perlmutter

Guy Wolf

Papers citing "Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks"

18 / 18 papers shown

Title
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 49 0 0 08 Apr 2025
Convergence of Manifold Filter-Combine Networks David R. Johnson Joyce A. Chew Siddharth Viswanath E. Brouwer Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 37 0 0 18 Oct 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs Charles Xu Laney Goldman Valentina Guo Benjamin Hollander-Bodie Maedee Trank-Greene Ian M. Adelstein E. Brouwer Rex Ying Smita Krishnaswamy Michael Perlmutter 24 1 0 26 Oct 2023
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis Aarthi Venkat Joyce A. Chew Ferran Cardoso Rodriguez Christopher J. Tape Michael Perlmutter Smita Krishnaswamy 21 1 0 14 Sep 2023
Manifold Filter-Combine Networks Joyce A. Chew E. Brouwer Smita Krishnaswamy Deanna Needell Michael Perlmutter Michael Perlmutter GNN 26 0 0 08 Jul 2023
Unsupervised Learning for Solving the Travelling Salesman Problem Yimeng Min Yiwei Bai Carla P. Gomes OT 23 36 0 19 Mar 2023
E(n)-equivariant Graph Neural Cellular Automata G. Gala Daniele Grattarola Erik Quaeghebeur GNN 45 3 0 25 Jan 2023
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 36 16 0 17 Aug 2022
Learnable Filters for Geometric Scattering Modules Alexander Tong Frederik Wenkel Dhananjay Bhaskar Kincaid MacDonald Jackson D. Grady Michael Perlmutter Smita Krishnaswamy Guy Wolf 10 6 0 15 Aug 2022
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 27 13 0 21 Jun 2022
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? Yimeng Min Frederik Wenkel Michael Perlmutter Guy Wolf GNN 11 16 0 03 Jun 2022
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 26 6 0 12 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
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 175 1,778 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016