{"total":15,"rows":[{"id":"2202.00645","title":"Generalization Analysis of Message Passing Neural Networks on Large Random Graphs","created":"2022-02-01","cited_by_count":59,"area":null},{"id":"2109.10096","title":"Transferability of Graph Neural Networks: an Extended Graphon Approach","created":"2021-09-21","cited_by_count":53,"area":null},{"id":"2305.15987","title":"A graphon-signal analysis of graph neural networks","created":"2023-05-25","cited_by_count":30,"area":null},{"id":"2210.00376","title":"Convolutional Neural Networks on Manifolds: From Graphs and Back","created":"2022-10-01","cited_by_count":14,"area":null},{"id":"2110.02880","title":"Space-Time Graph Neural Networks","created":"2021-10-06","cited_by_count":10,"area":null},{"id":"2106.03725","title":"Stability to Deformations of Manifold Filters and Manifold Neural Networks","created":"2021-06-07","cited_by_count":9,"area":null},{"id":"2110.04702","title":"Stability of Neural Networks on Manifolds to Relative Perturbations","created":"2021-10-10","cited_by_count":9,"area":null},{"id":"2210.15058","title":"Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back","created":"2022-10-26","cited_by_count":9,"area":null},{"id":"2206.04857","title":"Mixed integer linear optimization formulations for learning optimal binary classification trees","created":"2022-06-10","cited_by_count":4,"area":null},{"id":"2307.13206","title":"Transferability of Graph Neural Networks using Graphon and Sampling Theories","created":"2023-07-25","cited_by_count":3,"area":null},{"id":"2312.02372","title":"On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks","created":"2023-12-04","cited_by_count":2,"area":null},{"id":"2507.18147","title":"Learning graphons from data: Random walks, transfer operators, and spectral clustering","created":"2025-07-24","cited_by_count":2,"area":null},{"id":"2402.07340","title":"Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks","created":"2024-02-12","cited_by_count":0,"area":null},{"id":"2404.08376","title":"Graph data augmentation with Gromow-Wasserstein Barycenters","created":"2024-04-12","cited_by_count":0,"area":null},{"id":"2602.10031","title":"Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs","created":"2026-02-10","cited_by_count":0,"area":null}],"next_cursor":null}