6 problems
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The spectral meta-algorithm is optimally accurate in the geometric block model
Spectral meta-algorithm conjecture. For any and such that has a giant component, there exists such that the spectral meta-algorithm recov…
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Subpolynomial-power spectral methods fail on dense geometric block models
Subpolynomial-power failure conjecture. There exists such that, for all , , , and , the algorithm that finds the second-largest-eigenvalue…
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Powered adjacency spectral clustering is optimally accurate in the geometric block model
Powered adjacency conjecture. For all , , , and , the algorithm that finds the eigenvector of with the second-largest eigenvalue and then divid…
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Nonbacktracking spectral clustering is not optimally accurate in the geometric block model
Nonbacktracking failure conjecture. Computing the eigenvector of with the second-largest eigenvalue and dividing the vertices into those with above-median and below-median sums…
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Powered adjacency eigenvectors achieve weak recovery in the geometric block model
Powered adjacency conjecture. Let and suppose has a giant component. Taking the second-largest eigenvector of , with…
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Weak recovery threshold in the geometric block model
Weak recovery threshold conjecture. Let and suppose has a giant component. Weak recovery is efficiently solvable in if and o…