
This code was used in the publication Predicting Shape Development: A Riemannian Method to predict future shape developments in Riemannian shape spaces. This work was carried out as part of the Math+ project AA5-3 "Manifold-Valued Graph Neural Networks." The underlying methodological building blocks are part of the Morphomatics library.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
