Learning neural graph representations in non-Euclidean geometries
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| 100 | 1 | |a López, Federico |d 1990- |e VerfasserIn |0 (DE-588)126902308X |0 (DE-627)1817673432 |4 aut | |
| 245 | 1 | 0 | |a Learning neural graph representations in non-Euclidean geometries |c vorgelegt von Federico López ; Referent: Prof. Dr. Michael Strube, Korreferent: Prof. Dr. Anette Frank, Korreferent: Prof. Dr. Anna Wienhard |
| 264 | 1 | |a Heidelberg |c [2022?] | |
| 300 | |a xiii, 224 Seiten |b Illustrationen, Diagramme | ||
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| 502 | |b Dissertation |c Ruprecht-Karls-Universität Heidelberg |d 2022 | ||
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| 650 | 4 | |a geometric deep learning | |
| 650 | 4 | |a graph representation | |
| 650 | 4 | |a riemannian manifold learning | |
| 650 | 4 | |a non-euclidean geometry | |
| 650 | 4 | |a symmetric positive definite matrices | |
| 650 | 4 | |a graph embeddings | |
| 650 | 4 | |a hyperbolic geometry | |
| 650 | 4 | |a siegel space | |
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| 700 | 1 | |a Strube, Michael |e AkademischeR BetreuerIn |0 (DE-588)1095110802 |0 (DE-627)855606517 |0 (DE-576)462886875 |4 dgs | |
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