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This paper surveys visualization and interaction techniques for geospatial networks from a total of 95 papers. Geospatial networks are graphs where nodes and links can be associated with geographic locations. Examples can include social…

Human-Computer Interaction · Computer Science 2021-04-21 Sarah Schöttler , Yalong Yang , Hanspeter Pfister , Benjamin Bach

It is shown that the projection image of an oriented spatial arc to any oriented plane is approximated by a unique arc diagram (up to isomorphic arc diagrams) determined from the spatial arc and the projection. In a separated paper, the…

Geometric Topology · Mathematics 2019-07-25 Akio Kawauchi

Twisted links are a generalization of virtual links. As virtual links correspond to abstract links on orientable surfaces, twisted links correspond to abstract links on (possibly non-orientable) surfaces. In this paper, we introduce the…

Geometric Topology · Mathematics 2016-01-12 Naoko Kamada , Seiichi Kamada

Classical knot theory deals with {\em diagrams} and {\em invariants}. By means of horizontal {\em trisecants}, we construct a new theory of classical braids with invariants valued in {\em pictures}. These pictures are closely related to…

Geometric Topology · Mathematics 2015-01-22 Vassily Olegovich Manturov

This paper studies knots in three dimensional projective space. Our technique is to associate a virtual link to a link in projective space so that equivalent projective links go to equivalent virtual links (modulo a special flype move). We…

Geometric Topology · Mathematics 2025-11-11 Louis H. Kauffman , Rama Mishra , Visakh Narayanan

The motivation of this work is to define cohomology classes in the space of knots that are both easy to find and to evaluate, by reducing the problem to simple linear algebra. We achieve this goal by defining a combinatorial graded cochain…

Geometric Topology · Mathematics 2016-01-14 Arnaud Mortier

Knot theory provides a powerful tool for the understanding of topological matters in biology, chemistry, and physics. Here knot theory is introduced to describe topological phases in the quantum spin system. Exactly solvable models with…

Strongly Correlated Electrons · Physics 2019-06-24 X. M. Yang , L. Jin , Z. Song

Graph Neural Networks (GNN) are currently the most popular approach for learning and prediction on graph-structured data and are deployed in various fields, from social network analysis to drug discovery. However, there is limited…

Methodology · Statistics 2026-05-26 Nil Ayday , Mahalakshmi Sabanayagam , Debarghya Ghoshdastidar

We introduce a theory of virtual Legendrian knots. A virtual Legendrian knot is a cooriented wavefront on an oriented surface up to Legendrian isotopy of its lift to the unit cotangent bundle and stabilization and destablization of the…

Geometric Topology · Mathematics 2016-01-20 Patricia Cahn , Asa Levi

We introduce a local deformation called the virtualized $\Delta$-move for virtual knots and links. We prove that the virtualized $\Delta$-move is an unknotting operation for virtual knots. Furthermore we give a necessary and sufficient…

Geometric Topology · Mathematics 2024-01-24 Takuji Nakamura , Yasutaka Nakanishi , Shin Satoh , Kodai Wada

Link homotopy has been an active area of research for knot theorists since its introduction by Milnor in the 1950s. We introduce a new equivalence relation on spatial graphs called component homotopy, which reduces to link homotopy in the…

Geometric Topology · Mathematics 2009-09-29 Thomas Fleming

This paper explores the problem of unknotting closed braids and classical knots in mathematical knot theory. We apply evolutionary computation methods to learn sequences of moves that simplify knot diagrams, and show that this can be…

Geometric Topology · Mathematics 2013-02-05 Nicholas Jackson , Colin G. Johnson

In this paper, we hope to bring closer graph theory and consensus algorithms. Firstly, we give a brief introduction to graph theory by listing a concise definition. Then we analyze and visualize some commonly used graphs. Secondly, we…

Discrete Mathematics · Computer Science 2021-01-27 Shen Zheng

This paper introduces a generalization of Convolutional Neural Networks (CNNs) from low-dimensional grid data, such as images, to graph-structured data. We propose a novel spatial convolution utilizing a random walk to uncover the relations…

Machine Learning · Statistics 2017-04-27 Yotam Hechtlinger , Purvasha Chakravarti , Jining Qin

We initiate the study of classical knots through the homotopy class of the n-th evaluation map of the knot, which is the induced map on the compactified n-point configuration space. Sending a knot to its n-th evaluation map realizes the…

Geometric Topology · Mathematics 2007-05-23 Ryan Budney , James Conant , Kevin P. Scannell , Dev Sinha

These notes are an introduction to the theory of quantum symmetries of finite and infinite sets, graphs, and locally compact spaces.

Quantum Algebra · Mathematics 2026-03-27 Christian Voigt

A realization of a virtual link diagram is obtained by choosing over/under markings for each virtual crossing. Any realization can also be obtained from some representation of the virtual link. (A representation of a virtual link is a link…

Geometric Topology · Mathematics 2007-05-23 H. A. Dye

Graph theory provides a primary tool for analyzing and designing computer communication networks. In the past few decades, Graph theory has been used to study various types of networks, including the Internet, wide Area Networks, Local Area…

Networking and Internet Architecture · Computer Science 2009-07-20 Kamal Ahmat

We use grid diagrams to present a unified picture of braids, Legendrian knots, and transverse knots.

Geometric Topology · Mathematics 2010-10-05 Lenhard Ng , Dylan Thurston

This paper extends the construction of invariants for virtual knots to virtual long knots and introduces two new invariant modules of virtual long knots. Several interesting features are described that distinguish virtual long knots from…

Geometric Topology · Mathematics 2007-06-01 Andrew Bartholomew , Roger Fenn , Naoko Kamada , Seiichi Kamada