A unified spectral-persistent homology framework for stable and generalizable topological deep learning
Abstract Topological Deep Learning (TDL) boosts the capabilities of neural networks by integrating topological features from complex data structures like graphs and simplicial complexes. However, there is a critical gap in the area of structural perturbations within a model and how these affect its...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2025-11-01
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| coleção: | Discover Computing |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s10791-025-09783-z |
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