Link weights in heterogeneous information networks are recovered by linearly combining probabilities from path-constrained random walks on meta-paths.
Link predic- tion via matrix factorization
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Link weights recovery in heterogeneous information networks
Link weights in heterogeneous information networks are recovered by linearly combining probabilities from path-constrained random walks on meta-paths.