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Sohir Maskey
Sohir Maskey
PhD Student, LMU Munich: Department of Mathematics
Verified email at math.lmu.de - Homepage
Title
Cited by
Cited by
Year
Generalization analysis of message passing neural networks on large random graphs
S Maskey, R Levie, Y Lee, G Kutyniok
Advances in Neural Information Processing Systems 35, 4805-4817, 2022
342022
Transferability of graph neural networks: an extended graphon approach
S Maskey, R Levie, G Kutyniok
Applied and Computational Harmonic Analysis 63, 48-83, 2023
322023
A Fractional Graph Laplacian Approach to Oversmoothing
S Maskey, R Paolino, A Bacho, G Kutyniok
Advances in Neural Information Processing Systems 36, 2023
122023
Stability and generalization capabilities of message passing graph neural networks
S Maskey, Y Lee, R Levie, G Kutyniok
arXiv preprint arXiv:2202.00645, 2022
82022
Generalized Laplacian Positional Encoding for Graph Representation Learning
S Maskey, A Parviz, M Thiessen, H Stärk, Y Sadikaj, H Maron
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations‏, 2022‎
52022
Generalization Bounds for Message Passing Networks on Mixture of Graphons
S Maskey, G Kutyniok, R Levie
arXiv preprint arXiv:2404.03473, 2024
2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
R Paolino, S Maskey, P Welke, G Kutyniok
arXiv preprint arXiv:2403.13749, 2024
2024
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Articles 1–7