Browse State-of-the-Art › Tree Decomposition
Tree Decomposition
3 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Tree Decomposition is a technique in graph theory and computer science for representing a graph as a tree, where each node in the tree represents a set of vertices in the original graph. The goal of tree decomposition is to divide the graph into smaller, more manageable pieces, and to use the tree to represent the relationships between these pieces.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
3 shown of 3 papers with code (34 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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25 Aug 2021 1 repository listedNevertheless, iterative propagation restricts the information of higher-layer neighborhoods to be transported through and fused with the lower-layer neighborhoods', which unavoidably results in feature smoothing between…
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20 Aug 2020 1 repository listedWe propose a unifying dynamic-programming framework to compute exact literal-weighted model counts of formulas in conjunctive normal form.
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1 Dec 2019 1 repository listedIt is achieved by repeating the constraint-based causal structure learning scheme, iteratively, while searching for separating sets that are consistent with the graph obtained at the previous iteration.
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