A new book titled "Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications" has been published on arXiv. This work systematically surveys graph theory concepts under various uncertainty models, including fuzzy and neutrosophic frameworks. It details theoretical advancements and explores practical applications in areas such as molecular graphs, decision-making, and knowledge graphs. AI
IMPACT Details advancements in graph theory under uncertainty, relevant for knowledge graphs and graph neural networks.
RANK_REASON The cluster contains a newly published academic book detailing theoretical advancements and applications in a specific area of computer science. [lever_c_demoted from research: ic=1 ai=0.7]
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