Centrality measures for graphons: Accounting for uncertainty in networks

28 July 2017

Papers citing "Centrality measures for graphons: Accounting for uncertainty in networks"

21 / 21 papers shown

Title
Scalable Implicit Graphon Learning Ali Azizpour Nicolas Zilberstein Santiago Segarra GNN 36 0 0 22 Oct 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 48 12 0 21 Dec 2023
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 38 7 0 27 Oct 2022
Joint Network Topology Inference via a Shared Graphon Model Madeline Navarro Santiago Segarra 52 10 0 17 Sep 2022
Fixed-Point Centrality for Networks Shuang Gao 19 0 0 15 Sep 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu 19 193 0 15 Feb 2022
Graphon-aided Joint Estimation of Multiple Graphs Madeline Navarro Santiago Segarra 16 2 0 11 Feb 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 27 41 0 09 Dec 2021
Consistency of Spectral Seriation A. Natik Aaron Smith 22 5 0 08 Dec 2021
Learning Graphon Autoencoders for Generative Graph Modeling Hongteng Xu P. Zhao Junzhou Huang Dixin Luo GNN 41 5 0 29 May 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 23 1 0 02 Jan 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 46 28 0 10 Dec 2020
Graph and graphon neural network stability Luana Ruiz Zhiyang Wang Alejandro Ribeiro GNN 78 17 0 23 Oct 2020
Joint Inference of Multiple Graphs from Matrix Polynomials Madeline Navarro Yuhao Wang A. Marques Caroline Uhler Santiago Segarra 22 29 0 16 Oct 2020
Algebraic Neural Networks: Stability to Deformations Alejandro Parada-Mayorga Alejandro Ribeiro 16 26 0 03 Sep 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 53 122 0 04 Aug 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 16 140 0 05 Jun 2020
Graphon Pooling in Graph Neural Networks Alejandro Parada-Mayorga Luana Ruiz Alejandro Ribeiro GNN 8 15 0 03 Mar 2020
Blind identification of stochastic block models from dynamical observations Michael T. Schaub Santiago Segarra J. Tsitsiklis 16 33 0 22 May 2019
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers Fernando Gama Alejandro Ribeiro 17 15 0 12 Mar 2018
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 131 976 0 29 Dec 2009