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Scaling up graph homomorphism for classification via sampling
Feature generation is an open topic of investigation in graph machine learning.
Scaling Up Graph Homomorphism Features with Efficient Data Structures
Typical datasets used in graph classification tasks only contain a few thousand graphs which rarely exceed hundreds of nodes.
The shortest way to visit all metro lines in a city
What if $\{$a tourist, a train addict, Dr. Sheldon Cooper, somebody who likes to waste time$\}$ wants to visit all metro lines or carriages in a given network in a minimum number of steps?
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