Learning with Partially Absorbing Random Walks

NeurIPS 2012 Xiao-Ming WuZhenguo LiAnthony M. SoJohn WrightShih-Fu Chang

We propose a novel stochastic process that is with probability $\alpha_i$ being absorbed at current state $i$, and with probability $1-\alpha_i$ follows a random edge out of it. We analyze its properties and show its potential for exploring graph structures... (read more)

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