An Empirical Study of Realized GNN Expressiveness

16 April 2023

Papers citing "An Empirical Study of Realized GNN Expressiveness"

14 / 14 papers shown

Title
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 2025
Enhancing the Utility of Higher-Order Information in Relational Learning Raphael Pellegrin Lukas Fesser Melanie Weber 91 0 0 13 Feb 2025
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 28 0 0 04 Nov 2024
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 32 0 0 21 Oct 2024
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis Zhifei Li Gerrit Großmann V. Wolf 21 0 0 11 Oct 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 28 2 0 20 Mar 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Zhengchao Wan Gal Mishne A. Nayyeri Yusu Wang 24 10 0 22 Feb 2024
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network Lecheng Kong Jiarui Feng Hao Liu Dacheng Tao Yixin Chen Muhan Zhang AI4CE 16 11 0 29 Oct 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 22 0 0 23 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 44 10 0 05 Jun 2023
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 76 46 0 22 Oct 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 95 45 0 30 Jan 2022
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 122 78 0 01 Oct 2021
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 170 170 0 09 Mar 2020