Theory of Graph Neural Networks: Representation and Learning

16 April 2022

Papers citing "Theory of Graph Neural Networks: Representation and Learning"

16 / 16 papers shown

Title
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 40 0 0 03 May 2025
DE-HNN: An effective neural model for Circuit Netlist representation Zhishang Luo Truong Son-Hy Puoya Tabaghi Donghyeon Koh Michael Defferrard Elahe Rezaei Ryan Carey William Rhett Davis Rajeev Jain Yusu Wang 14 5 0 30 Mar 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
Descriptive complexity for distributed computing with circuits Veeti Ahvonen Damian Heiman L. Hella Antti Kuusisto 14 3 0 08 Mar 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 24 26 0 20 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 14 8 0 16 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 8 40 0 09 Feb 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 19 5 0 26 Jan 2023
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks Anders Aamand Justin Y. Chen Piotr Indyk Shyam Narayanan R. Rubinfeld Nicholas Schiefer Sandeep Silwal Tal Wagner 30 21 0 06 Nov 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 20 88 0 16 Oct 2022
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 42 31 0 25 Sep 2022
BIP: Boost Invariant Polynomials for Efficient Jet Tagging José M. Muñoz Ilyes Batatia Christoph Ortner 6 14 0 17 Jul 2022
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 134 123 0 17 Oct 2020
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016
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 255 1,394 0 01 Dec 2016