An unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information
Summary
An unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information is a scholarly article[1].
Key Facts
An unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-unified-framework-for-link-prediction-based-on-non-negative-matrix-factorization-with-coupling-multivariate-informatio
MLA“A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-unified-framework-for-link-prediction-based-on-non-negative-matrix-factorization-with-coupling-multivariate-informatio.
BibTeX@misc{4ortxyz_a-unified-framework-for-link-prediction-based-on-non-negative-matrix-factorization-with-coupling-multivariate-informatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information}}, year = {2026}, url = {https://4ort.xyz/entity/a-unified-framework-for-link-prediction-based-on-non-negative-matrix-factorization-with-coupling-multivariate-informatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information — https://4ort.xyz/entity/a-unified-framework-for-link-prediction-based-on-non-negative-matrix-factorization-with-coupling-multivariate-informatio (retrieved 2026-05-24)
