PAN: Path Integral Based Convolution for Deep Graph Neural Networks

24 April 2019

Papers citing "PAN: Path Integral Based Convolution for Deep Graph Neural Networks"

6 / 6 papers shown

Title
YotoR-You Only Transform One Representation José Ignacio Díaz Villa P. Loncomilla Javier Ruiz-del-Solar ViT 44 0 0 30 May 2024
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 32 62 0 05 Oct 2021
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 24 49 0 24 Feb 2020
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 50 685 0 28 Oct 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
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