What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding

24 May 2023

Papers citing "What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding"

7 / 7 papers shown

Title
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 41 1 0 28 May 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
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
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 92 45 0 30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 179 304 0 15 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 118 975 0 29 Dec 2009