Graph representation learning for road type classification
Pattern Recognition(2021)
摘要
•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.
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关键词
Road network graphs,Graph representation learning,Line graph transformation,Neighborhood aggregation,Topological neighborhood
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