Fine-grained Expressivity of Graph Neural Networks

6 June 2023

Papers citing "Fine-grained Expressivity of Graph Neural Networks"

11 / 11 papers shown

Title
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 41 0 0 11 Jun 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 62 1 0 19 Mar 2024
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 45 7 0 21 Apr 2023
The Descriptive Complexity of Graph Neural Networks Martin Grohe GNN 33 14 0 08 Mar 2023
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang Stefanie Jegelka OOD 59 34 0 04 Oct 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 73 53 0 01 Feb 2022
Transferability of Graph Neural Networks: an Extended Graphon Approach Sohir Maskey Ron Levie Gitta Kutyniok GNN 81 49 0 21 Sep 2021
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
Graph Homomorphism Convolution Hoang NT Takanori Maehara 63 39 0 03 May 2020
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 120 284 0 01 May 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016