Learn how you can improve your graphs for machine-learning tasks.
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Graphs defined by topological information are helpful in many machine-learning scenarios. They can be used for community detection, node influence, classification, and other tasks. The performance a machine-learning mode can achieve on these tasks will strongly depend on the graph’s quality, which makes improving the graph quality important. Because of the importance of graph quality, this article…