Transferability of Graph Neural Networks: an Extended Graphon Approach. - Sohir Maskey; Ron Levie; Gitta Kutyniok (CoRR, 2021)

Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. - Sohir Maskey; Ron Levie; Yunseok Lee; Gitta Kutyniok (NeurIPS, 2022)

Generalized Laplacian Positional Encoding for Graph Representation Learning. - Sohir Maskey; Ali Parviz; Maximilian Thiessen; Hannes Stärk; Ylli Sadikaj; Haggai Maron (CoRR, 2022)

A Fractional Graph Laplacian Approach to Oversmoothing. - Sohir Maskey; Raffaele Paolino; Aras Bacho; Gitta Kutyniok (NeurIPS, 2023)

Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. - Raffaele Paolino; Sohir Maskey; Pascal Welke; Gitta Kutyniok (NeurIPS, 2024)

Generalization Bounds for Message Passing Networks on Mixture of Graphons. - Sohir Maskey; Gitta Kutyniok; Ron Levie (CoRR, 2024)

Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall. - Christopher Bülte; Sohir Maskey; Philipp Scholl 003; Jonas von Berg; Gitta Kutyniok (CoRR, 2025)

Graph Representational Learning: When Does More Expressivity Hurt Generalization? - Sohir Maskey; Raffaele Paolino; Fabian Jogl; Gitta Kutyniok; Johannes F. Lutzeyer (CoRR, 2025)