30 September 2016 5 5K Report

Is there any machine learning approach where every labeled data is a graph instead of a vector?

Typically, each data in a machine learning problem is a vector of fixed length.

Is there any way to address the problem If instead a vector you have a graph with different number of nodes (and every node has attributes) and different weighted links?

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