MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information
Summary
MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information is a scholarly article[1].
Key Facts
MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information. Retrieved May 24, 2026, from https://4ort.xyz/entity/metagc-mc-a-graph-based-meta-learning-approach-to-cold-start-recommendation-with-without-auxiliary-information
MLA“MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/metagc-mc-a-graph-based-meta-learning-approach-to-cold-start-recommendation-with-without-auxiliary-information.
BibTeX@misc{4ortxyz_metagc-mc-a-graph-based-meta-learning-approach-to-cold-start-recommendation-with-without-auxiliary-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information}}, year = {2026}, url = {https://4ort.xyz/entity/metagc-mc-a-graph-based-meta-learning-approach-to-cold-start-recommendation-with-without-auxiliary-information}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information — https://4ort.xyz/entity/metagc-mc-a-graph-based-meta-learning-approach-to-cold-start-recommendation-with-without-auxiliary-information (retrieved 2026-05-24)
