Title
Graph representation learning for road type classification
Abstract
•Learning to classify road networks of realistic cities from open street map.•Applying line graph transformation to use qualitative road segment fea- tures.•Proposing a sampling function of nodes in local and global topological neighborhoods.•Proposing a novel approach to aggregation, Graph Attention Isomorphism Network, GAIN.
Year
DOI
Venue
2021
10.1016/j.patcog.2021.108174
Pattern Recognition
Keywords
DocType
Volume
Road network graphs,Graph representation learning,Line graph transformation,Neighborhood aggregation,Topological neighborhood
Journal
120
Issue
ISSN
Citations 
1
0031-3203
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zahra Gharaee142.80
Shreyas Kowshik200.34
Oliver Stromann300.34
Michael Felsberg42419130.29