Future Directions in the Theory of Graph Machine Learning

Future Directions in the Theory of Graph Machine Learning

3 February 2024

Christopher Morris

Fabrizio Frasca

.Ismail .Ilkan Ceylan

Michael M. Bronstein

Stefanie Jegelka

Papers citing "Future Directions in the Theory of Graph Machine Learning"

15 / 15 papers shown

Title
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 58 10 0 12 Feb 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
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 49 7 0 21 Apr 2023
The Descriptive Complexity of Graph Neural Networks Martin Grohe GNN 39 22 0 08 Mar 2023
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang Stefanie Jegelka OOD 67 35 0 04 Oct 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 163 88 0 31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 81 37 0 30 May 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 83 54 0 01 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 102 224 0 30 Jan 2022
Keeping it Simple: Language Models can learn Complex Molecular Distributions Daniel Flam-Shepherd Kevin Zhu A. Aspuru‐Guzik 133 142 0 06 Dec 2021
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective J.N. Zhang Haochuan Li S. Sra Ali Jadbabaie 66 9 0 12 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 172 123 0 17 Oct 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 184 172 0 09 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019