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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications

    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.