Optimality of Message-Passing Architectures for Sparse Graphs

10 January 2025

Papers citing "Optimality of Message-Passing Architectures for Sparse Graphs"

17 / 17 papers shown

Title
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 36 0 0 03 Mar 2025
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks Hai-Xiao Wang Zhichao Wang 63 1 0 18 Dec 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 25 1 0 03 Jun 2024
Analysis of Corrected Graph Convolutions Robert Wang Aseem Baranwal K. Fountoulakis 21 0 0 22 May 2024
Asymptotic generalization error of a single-layer graph convolutional network O. Duranthon L. Zdeborová MLT 25 2 0 06 Feb 2024
TacticAI: an AI assistant for football tactics Zhe Wang Petar Velickovic Daniel Hennes Nenad Tomašev Laurel Prince ... Pol Moreno N. Heess Michael H. Bowling Demis Hassabis K. Tuyls 43 42 0 16 Oct 2023
Asynchronous Algorithmic Alignment with Cocycles Andrew Dudzik Tamara von Glehn Razvan Pascanu Petar Velivcković 21 9 0 27 Jun 2023
Optimal Inference in Contextual Stochastic Block Models O. Duranthon L. Zdeborová BDL 22 8 0 06 Jun 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 53 21 0 01 May 2023
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 21 9 0 26 Dec 2022
Message passing all the way up Petar Velickovic 103 63 0 22 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 73 53 0 01 Feb 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 131 130 0 29 Oct 2021
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 98 131 0 23 Jul 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 0 09 Jun 2018
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
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016