Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees
Elchanan Mossel, Allan Sly, Youngtak Sohn
摘要
In this paper we continue to rigorously establish the predictions in ground breaking work in statistical physics by Decelle, Krzakala, Moore, Zdeborová (2011) regarding the block model, in particular in the case of q = 3 and q = 4 communities.
We prove that for q = 3 and q = 4 there is no computational-statistical gap if the average degree is above some constant by showing it is information theoretically impossible to detect below the Kesten-Stigum bound.
The proof is based on showing that for the broadcast process on Galton-Watson trees, reconstruction is impossible for q = 3 and q = 4 if the average degree is sufficiently large. This improves on the result of Sly (2009), who proved similar results for regular trees for q = 3. Our analysis of the critical case q = 4 provides a detailed picture showing that the tightness of the Kesten-Stigum bound in the antiferromagnetic case depends on the average degree of the tree.
Our results prove conjectures of Decelle, Krzakala, Moore, Zdeborová (2011), Moore (2017), Abbe and Sandon (2018) and Ricci-Tersenghi, Semerjian, and Zdeborová (2019). Our proofs are based on a new general coupling of the tree and graph processes and on a refined analysis of the broadcast process on the tree.
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- Weak Recovery, Hypothesis Testing, and Mutual Information in Stochastic Block Models and Planted Factor GraphsElchanan Mossel, Allan Sly, Youngtak SohnSTOC 2025 · 被引用 3 次
- Local Geometry of NAE-SAT Solutions in the Condensation RegimeAllan Sly, Youngtak SohnSTOC 2024 · 被引用 2 次
- Sharp Phase Transitions in Estimation with Low-Degree PolynomialsYoungtak Sohn, Alexander S. WeinSTOC 2025 · 被引用 1 次
- How Transformers Learn Structured Data: Insights From Hierarchical FilteringJerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca SagliettiICML 2025
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