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Any ideas on how might be best to encode a graph of a street network for a machine learning model?
May 19, 2022, 4:18 p.m. | /u/professorDissociate
Data Science www.reddit.com
My graph is composed of spatial data (nodes and edges), and there are no isolated elements. The nodes and edges are comprised of coordinates that describe their location, and their structure describes whether it’s a point or a line on the map. Points are intersections or road ends, and lines are the roads connecting them. If …
datascience graph ideas learning machine machine learning machine learning model network street
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