Establishes Ω(n/ε²) query lower bounds for approximating correlation clustering cost and partitions under memory constraints in adjacency-matrix and general graph models.
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) , pages =
3 Pith papers cite this work. Polarity classification is still indexing.
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Explosive synchronization arises in networks of Type-I neurons with electrical coupling on scale-free topologies when heterogeneity is weak and degree-frequency correlation is present.
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Query Lower Bounds for Correlation Clustering under Memory Constraints
Establishes Ω(n/ε²) query lower bounds for approximating correlation clustering cost and partitions under memory constraints in adjacency-matrix and general graph models.
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Explosive synchronization in networks of Type-I neurons with electrical synapses
Explosive synchronization arises in networks of Type-I neurons with electrical coupling on scale-free topologies when heterogeneity is weak and degree-frequency correlation is present.
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