9 citations · 17 across the 12 of their papers we have counts for
6 papers · 1 filter
Khovanov homology: pro-tangles, derived colimits and spectral sequences
Jian Liu, Kefeng Liu, Li Shen
This paper introduces \emph{pro-tangles}, a natural generalization of classical tangles, which are functors from the Boolean cube to Bar-Natan's cobordism category. By employing th…
Khovanov homology of tangles: algorithm and computation
Li Shen, Jian Liu, Guo-Wei Wei
Knot, link, and tangle theory is crucial in both mathematical theory and practical application, including quantum physics, molecular biology, and structural chemistry. Unlike knots…
Computing Khovanov homology of tangles
Li Shen, Jian Liu, Guo-Wei Wei
The computation of Khovanov homology for tangles has significant potential applications, yet explicit computational studies remain limited. In this work, we present a method for co…
Persistent Khovanov homology of tangles
Jian Liu, Li Shen, Guo-Wei Wei
Knot data analysis (KDA), which studies data with curve-type structures such as knots, links, and tangles, has emerging as a promising geometric topology approach in data science.…
Evolutionary Khovanov homology
Li Shen, Jian Liu, Guo-Wei Wei
Knot theory is a study of the embedding of closed circles into three-dimensional Euclidean space, motivated the ubiquity of knots in daily life and human civilization. However, the…
Knot data analysis using multiscale Gauss link integral
Li Shen, Hongsong Feng, Fengling Li +3
In the past decade, topological data analysis (TDA) has emerged as a powerful approach in data science. The main technique in TDA is persistent homology, which tracks topological i…