
This dataset is associated with the research paper "PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds", published in the ISPRS Journal of Photogrammetry and Remote Sensing. Meshes are derived from LoD2 models provided by Bavarian Open GeoData (CC BY 4.0 license). Code and instructions: https://github.com/chenzhaiyu/polygnn.
| 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 |
