Revisiting Random Walks for Learning on Graphs

Revisiting Random Walks for Learning on Graphs

1 July 2024

Ayhan Suleymanzade

Seunghoon Hong

Papers citing "Revisiting Random Walks for Learning on Graphs"

6 / 6 papers shown

Title
Simulation of Graph Algorithms with Looped Transformers Artur Back de Luca K. Fountoulakis 48 14 0 02 Feb 2024
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness Bohang Zhang Jingchu Gai Yiheng Du Qiwei Ye Di He Liwei Wang 43 33 0 16 Jan 2024
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 109 71 0 02 Oct 2023
Neural Networks and the Chomsky Hierarchy Grégoire Delétang Anian Ruoss Jordi Grau-Moya Tim Genewein L. Wenliang ... Chris Cundy Marcus Hutter Shane Legg Joel Veness Pedro A. Ortega UQCV 98 129 0 05 Jul 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 76 27 0 17 Feb 2021