Given a single graph, and two different "biased" random walk models on the same undirected graph, how does on theoretically compare the two models? What are the metrics one should theoretically study to show one method's superiority over the other? For e.g., is "mixing time" a good performance metric to compare on?
2026-03-25 22:01:51.1774476111
Comparing Biased Random Walk models
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