On the power of graph neural networks and the role of the activation function

10 July 2023

Papers citing "On the power of graph neural networks and the role of the activation function"

9 / 9 papers shown

Title
A note on the VC dimension of 1-dimensional GNNs Noah Daniëls Floris Geerts 28 0 0 10 Oct 2024
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks Sammy Khalife Josué Tonelli-Cueto 29 0 0 02 Oct 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 44 1 0 02 Jul 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning Snir Hordan Tal Amir Nadav Dym 44 5 0 04 Feb 2024
On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks Walid Guettala László Gulyás 17 1 0 11 Jan 2024
Graph Neural Networks with polynomial activations have limited expressivity Sammy Khalife 27 0 0 19 Oct 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 97 23 0 10 Jun 2023
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016