Efficient and Stable Graph Scattering Transforms via Pruning

27 January 2020

Papers citing "Efficient and Stable Graph Scattering Transforms via Pruning"

7 / 7 papers shown

Title
A Recurrent Graph Neural Network for Multi-Relational Data Xuankai Chang A. Marques G. Giannakis GNN 34 36 0 05 Nov 2018
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 43 113 0 07 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 155 1,190 0 04 Oct 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 373 3,264 0 24 Nov 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 46 213 0 03 Jun 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 149 8,793 0 01 Oct 2015
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 50 1,272 0 05 Mar 2012