Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality

Research article (Chaos Solitons & Fractals, 2022) · cited 28× · AI/ML
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Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality

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Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality. Retrieved May 24, 2026, from https://4ort.xyz/entity/graph-regularized-nonnegative-matrix-factorization-for-link-prediction-in-directed-temporal-networks-using-pagerank-cent
MLA “Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graph-regularized-nonnegative-matrix-factorization-for-link-prediction-in-directed-temporal-networks-using-pagerank-cent.
BibTeX @misc{4ortxyz_graph-regularized-nonnegative-matrix-factorization-for-link-prediction-in-directed-temporal-networks-using-pagerank-cent_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality}}, year = {2026}, url = {https://4ort.xyz/entity/graph-regularized-nonnegative-matrix-factorization-for-link-prediction-in-directed-temporal-networks-using-pagerank-cent}, note = {Accessed: 2026-05-24}}
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