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(Hyper)graph Kernels over Simplicial Complexes
Graph kernels are one of the mainstream approaches when dealing with measuring similarity between graphs, especially for pattern recognition and machine learning tasks. In turn, graphs gained a lot of attention due to their modeling capabilities for several real-world phenomena ranging from bioinfor...
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| Publicado en: | Entropy (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597323/ https://ncbi.nlm.nih.gov/pubmed/33286924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22101155 |
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