For m unlabeled Gaussian networks, correlation is detectable above roughly rho^2 = (8/m) log n / n and undetectable below roughly rho^2 = (4/(m-1)) log n / n, with the gap between these bounds left open for m>2.
Graph alignment exploiting the spatial organization impr oves the sim- ilarity of brain networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Sharp Detection Threshold for Correlation among Multiple Unlabeled Gaussian Networks
For m unlabeled Gaussian networks, correlation is detectable above roughly rho^2 = (8/m) log n / n and undetectable below roughly rho^2 = (4/(m-1)) log n / n, with the gap between these bounds left open for m>2.