Intro
Paper
- Lecture 9 – Graph Neural Networks
- Contagion in Graphons by Selman Erol, Francesca Parise, Alexander Teytelboym :: SSRN
- [1710.08878] Classification on Large Networks: A Quantitative Bound via Motifs and Graphons
- Large networks and graph limits
- Graphon Signal Processing
- Graphon Neural Networks and the Transferability of Graph Neural Networks
- CLASSIFICATION ON LARGE NETWORKS: A QUANTITATIVEBOUND VIA MOTIFS AND GRAPHONS
- Edge-exchangeable graphs and sparsity
- An Lp theory of sparse graph convergence I: Limits, sparse random graph models, and power-law distributions
- Signal Processing on Kernel-Based Random Graphs
- THE GRAPHON FOURIER TRANSFORM
- Centrality Measures for Graphons: Accounting for Uncertainty in Networks
- Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
- Private Graphon Estimation for Sparse Graphs
- ORACLE INEQUALITIES FOR NETWORK MODELS AND SPARSEGRAPHON ESTIMATION
- NONPARAMETRIC GRAPHON ESTIMATION