Halting in Random Walk Kernels

NeurIPS 2015 Mahito SugiyamaKarsten Borgwardt

Random walk kernels measure graph similarity by counting matching walks in two graphs. In their most popular form of geometric random walk kernels, longer walks of length $k$ are downweighted by a factor of $\lambda^k$ ($\lambda < 1$) to ensure convergence of the corresponding geometric series... (read more)

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