
We recall the construction of the Gromov–Wasserstein distance and concentrate on quantitative aspects of the definition.
graph theory, Computing methodologies for image processing, Machine vision and scene understanding, Graph theory (including graph drawing) in computer science, Computer graphics; computational geometry (digital and algorithmic aspects), QA1-939, metric geometry, optimal transportation, Mathematics, shape recognition
graph theory, Computing methodologies for image processing, Machine vision and scene understanding, Graph theory (including graph drawing) in computer science, Computer graphics; computational geometry (digital and algorithmic aspects), QA1-939, metric geometry, optimal transportation, Mathematics, shape recognition
| 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). | 21 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
