9 problems
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Hardness assumptions for planted dense subgraph
Let planted dense subgraph use constant edge densities , with a denser planted subgraph inside a background random graph. Planted Dense Subgraph Hardness Conjecture. All…
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Brennan et al.'s semi-random planted dense subgraph hardness conjecture
Consider the planted dense subgraph model with adversarial edge deletions outside the planted subgraph, and let weak recovery mean producing an estimate correlated with the planted…
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The planted dense subgraph recovery conjecture
the planted dense subgraph recovery conjecture. No polynomial-time algorithm can achieve exact recovery asymptotically.
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The leftover-regime conjecture for random subgraph detection
Leftover-regime conjecture. No polynomial-time algorithm exists for detecting the planted subgraph.
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HPDS recovery computational hardness conjecture
Let be a hypergraphic planted dense subgraph with , adjacency tensor , and recovery error…
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The hidden-community recovery hardness conjecture below the Kesten–Stigum threshold
In the planted dense subgraph model, a hidden community has size among vertices, with signal-to-noise ratio … Recovery means finding the planted community. Hidden-Community…
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The semirandom community-recovery hardness conjecture
Community-recovery hardness conjecture. The recovery problem is computationally hard below the threshold
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Chen–Xu computational intractability conjecture for planted dense subgraph recovery
Let be the number of vertices and consider the planted dense subgraph model in the regime … where and are fixed constants. In the regime…
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The fixed-size planted dense subgraph computational-limit conjecture
Consider the planted dense subgraph problem with deterministic planted-subgraph size , and compare it with the model in which the planted size is random and concentrated near it…