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Tree Decomposition

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.

Papers

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Showing 11–20 of 34 papers

TitleStatusHype
Clustering Tree-structured Data on Manifold—0
Computing the Newton-step faster than Hessian accumulation—0
Density Propagation and Improved Bounds on the Partition Function—0
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics—0
Graph Inference with Effective Resistance Queries—0
Sparse residual tree and forest—0
Image Analysis Using a Dual-Tree M-Band Wavelet Transform—0
Image Segmentation Based on Multiscale Fast Spectral Clustering—0
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning—0
Inference in Sparse Graphs with Pairwise Measurements and Side Information—0
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