Additive εn²-approximation for graph edit distance on VC-dimension-d graphs in n^{O(d/ε²)} time, with extensions to quadratic assignment problems and a Weisfeiler-Leman dimension bound for robust graph isomorphism.
Improved Bounds on the Sample Com- plexity of Learning
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
TabKDE generates synthetic tabular data using copula transformations followed by kernel density estimation, matching prior accuracy with negligible training time and reduced storage via coresets.
Presents a scalable randomized algorithm for geometric crossing minimization, including a theoretical approximation guarantee for vertex repositioning and experimental results on graphs with up to 13,000 edges.
citing papers explorer
-
Robust Graph Isomorphism, Quadratic Assignment and VC Dimension
Additive εn²-approximation for graph edit distance on VC-dimension-d graphs in n^{O(d/ε²)} time, with extensions to quadratic assignment problems and a Weisfeiler-Leman dimension bound for robust graph isomorphism.
-
TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates
TabKDE generates synthetic tabular data using copula transformations followed by kernel density estimation, matching prior accuracy with negligible training time and reduced storage via coresets.
-
Geometric Crossing-Minimization -- A Scalable Randomized Approach
Presents a scalable randomized algorithm for geometric crossing minimization, including a theoretical approximation guarantee for vertex repositioning and experimental results on graphs with up to 13,000 edges.