The Ramsey community number on the diamond hierarchical lattice is derived as an exact RG crossing of Bayesian evidence, with closed-form r_k and a thermodynamically ordered hierarchical community phase.
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5 Pith papers cite this work, alongside 1,815 external citations. Polarity classification is still indexing.
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representative citing papers
Maps frozen MobileNetV2 features to Ising spins on quasi-cyclic LDPC graphs, operates a Random-Bond Ising Model at Nishimori temperature, and achieves 98.7% top-1 accuracy on ImageNet-10 and 84.92% on ImageNet-100 with 32-64 dimensional representations.
Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.
Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark
citing papers explorer
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The Ramsey community number as a renormalization-group crossing
The Ramsey community number on the diamond hierarchical lattice is derived as an exact RG crossing of Bayesian evidence, with closed-form r_k and a thermodynamically ordered hierarchical community phase.
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Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori Temperature
Maps frozen MobileNetV2 features to Ising spins on quasi-cyclic LDPC graphs, operates a Random-Bond Ising Model at Nishimori temperature, and achieves 98.7% top-1 accuracy on ImageNet-10 and 84.92% on ImageNet-100 with 32-64 dimensional representations.
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Generalized L-Modularity for Community Detection Beyond Simple Temporal Networks
Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.
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The Elusive Nature of Roughness: Linking Hydraulics and Graph Theory for Water Distribution Networks Model Calibration
Attribute-based network partitioning with hydraulic and graph features stabilizes pipe roughness calibration, yielding repeatable results comparable to manual methods for key pipes.
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A Survey of Community Detection from an Operations Research Perspective: Taxonomy, Mathematical Formulations, Modularity Functions, and Benchmark Datasets
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark