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"

8 / 8 papers shown

Title
E(n)-equivariant Graph Neural Cellular Automata G. Gala Daniele Grattarola Erik Quaeghebeur GNN 27 3 0 25 Jan 2023
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 29 16 0 17 Aug 2022
Molecular Graph Generation via Geometric Scattering Dhananjay Bhaskar Jackson D. Grady Michal Perlmutter Smita Krishnaswamy GNN 18 6 0 12 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 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 159 1,748 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016