Graph Neural Networks: Architectures, Stability and Transferability

Graph Neural Networks: Architectures, Stability and Transferability

4 August 2020

Alejandro Ribeiro

Papers citing "Graph Neural Networks: Architectures, Stability and Transferability"

10 / 10 papers shown

Title
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs Haolin Li Luana Ruiz Luana Ruiz 32 0 0 22 Oct 2024
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 16 1 0 11 Dec 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 45 7 0 21 Apr 2023
Stable and Transferable Hyper-Graph Neural Networks Mikhail Hayhoe Hans Riess V. Preciado Alejandro Ribeiro 38 1 0 11 Nov 2022
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks Elijah S. Lee Lifeng Zhou Alejandro Ribeiro Vijay R. Kumar AAML GNN 16 1 0 24 Sep 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 73 37 0 30 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 38 98 0 16 May 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 23 106 0 01 Mar 2022
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 13 99 0 17 Aug 2021
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 120 284 0 01 May 2018