For supervised random walk, the restart probability of a node captures the:
Question
For supervised random walk, the restart probability of a node captures the:
Solution
In supervised random walk, the restart probability of a node captures the likelihood of the walk returning to the starting node. This is a parameter that can be adjusted to control the balance between exploration and exploitation in the walk. A higher restart probability means the walk is more likely to return to the starting node, thus focusing more on the local neighborhood. Conversely, a lower restart probability means the walk is more likely to explore distant parts of the graph.
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