The Expressive Power of Graph Neural Networks: A Survey

The Expressive Power of Graph Neural Networks: A Survey

16 August 2023

Papers citing "The Expressive Power of Graph Neural Networks: A Survey"

17 / 17 papers shown

Title
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 17 0 0 23 Apr 2025
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hai Shu 25 0 0 07 Nov 2024
Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 25 1 0 24 Oct 2024
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection Moirangthem Tiken Singh Rabinder Kumar Prasad Gurumayum Robert Michael N K Kaphungkui N. Hemarjit Singh 31 0 0 10 Oct 2024
The Role of Fibration Symmetries in Geometric Deep Learning Osvaldo Velarde Lucas Parra Paolo Boldi Hernan Makse FedML AI4CE 29 2 0 28 Aug 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 23 0 0 25 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs Tom Wollschlager Niklas Kemper Leon Hetzel Johanna Sommer Stephan Günnemann 32 0 0 12 Jun 2024
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs Ziang Chen Xiaohan Chen Jialin Liu Xinshang Wang Wotao Yin 38 4 0 09 Jun 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 22 4 0 03 Feb 2024
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 26 11 0 13 Nov 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 23 49 0 07 Jun 2023
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 86 45 0 30 Jan 2022
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 117 78 0 01 Oct 2021
The expressive power of kth-order invariant graph networks Floris Geerts 120 37 0 23 Jul 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 159 158 0 09 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
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 252 1,394 0 01 Dec 2016