Introducing Graph Smoothness Loss for Training Deep Learning
Architectures

Introducing Graph Smoothness Loss for Training Deep Learning Architectures

1 May 2019

Myriam Bontonou

Carlos Lassance

Vincent Gripon

Jian Tang

Papers citing "Introducing Graph Smoothness Loss for Training Deep Learning Architectures"

6 / 6 papers shown

Title
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features Osama Ahmad Zubair Khalid Muhammad Ahmad Tahir M. Uppal 31 0 0 20 Jan 2025
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning Romain Cosentino Sarath Shekkizhar Mahdi Soltanolkotabi A. Avestimehr Antonio Ortega SSL 56 7 0 18 Sep 2022
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 47 0 0 08 Oct 2021
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 26 156 0 31 Jul 2020
Robust Deep Graph Based Learning for Binary Classification Minxiang Ye V. Stanković L. Stanković Gene Cheung OOD 31 10 0 06 Dec 2019
Deep geometric knowledge distillation with graphs Carlos Lassance Myriam Bontonou G. B. Hacene Vincent Gripon Jian Tang Antonio Ortega 27 39 0 08 Nov 2019