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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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48 results for complete graph $K_4$

This study examines how removing edges from complete graphs affects Ollivier Ricci curvature.

problem Conditions under which Ollivier Ricci curvature changes sign after edge removal.
method Defined and analyzed graphs obtained by removing matching, vertex incident, and cycle edges from complete graphs.
result Ollivier Ricci curvature remains positive or zero for graphs formed by removing edges from complete graphs.

We say that a graph is intrinsically knotted or completely 3-linked if every embedding of the graph into the 3-sphere contains a nontrivial knot or a 3-component link any of whose 2-component sublink is nonsplittable. We show that a graph obtained from the complete graph on seven vertices by a finite sequence of $\tria…

2010-06-03abs ↗pdf ↗

The symmetries of complex molecular structures can be modeled by the {\em topological symmetry group} of the underlying embedded graph. It is therefore important to understand which topological symmetry groups can be realized by particular abstract graphs. This question has been answered for complete graphs; it is natu…

2014-12-23abs ↗pdf ↗

Gradient estimates for unbounded graph Laplacians under Bakry-Emery curvature.

problem Gradient estimates for unbounded graph Laplacians.
method Proving gradient estimates under Bakry-Emery curvature bounds for unbounded graph Laplacians with ellipticity assumption.
result Gradient estimates and applications to completeness and finiteness of stochastically complete graphs.

We find the minimal number of links in an embedding of any complete kk-partite graph on 7 vertices (including K7K_7, which has at least 21 links). We give either exact values or upper and lower bounds for the minimal number of links for all complete kk-partite graphs on 8 vertices. We also look at larger complete bip…

2006-11-21abs ↗pdf ↗

Generalizations of Conway-Gordon theorems for complete graphs with new key results.

problem Understanding intrinsic knotting in complete graphs.
method Integral lifts and square of linking numbers for complete graphs with arbitrary vertices.
result Sum of second coefficients of Conway polynomials is determined for rectilinear complete graphs.

We investigate the minimal number of links and knots in complete partite graphs. We provide exact values or bounds on the minimal number of links for all complete partite graphs with all but 4 vertices in one partition, or with 9 vertices in total. In particular, we find that the minimal number of links for K4,4,1K_{4,4,1}

2010-08-05abs ↗pdf ↗

Geometric matrix completion learns graph patterns and non-linear diffusion efficiently.

problem Efficiently learn graph patterns and non-linear diffusion from user/item graphs.
method Geometric deep learning on graphs with graph convolutional and recurrent neural networks.
result Outperforms state-of-the-art techniques on synthetic and real datasets.

We classify graphs that are 0, 1, or 2 edges short of being complete partite graphs with respect to intrinsic linking and intrinsic knotting. In addition, we classify intrinsic knotting of graphs on 8 vertices. For graphs in these families, we verify a conjecture presented in Adams' "The Knot Book": If a vertex is remo…

2003-12-09abs ↗pdf ↗

Researchers compute connectivity of braid group in bipartite graph configuration space.

problem Understanding connectivity of braid group in complex configuration space.
method Analysis of topology, hidden symmetry, and literature results.
result Explicit computation of connectivity at infinity for braid group.

New method improves tensor completion for weakly-dependent spatiotemporal data.

problem Improving tensor completion for weakly-dependent data on graphs.
method Introducing L1L_{1}-norm and Graph Laplacian penalties for low-rank tensor decomposition and completion.
result Improved performance in metro passenger flow prediction.

The paper explores the L1L^1-Liouville property on graphs and its connections to stochastic completeness.

problem Investigating the L1L^1-Liouville property on graphs and its implications.
method Characterization of L1L^1-Liouville property in terms of Green function, equivalence with stochastic completeness, and comparison theorems based on inner-outer curvatures.
result Equivalence of L1L^1-Liouville property and stochastic completeness on model graphs, and introduction of Dirichlet L1L^1-Liouville property.

Study on modified Ricci curvature on graphs, proving rigidity and deriving formulas.

problem Understanding Ricci curvature on graphs, especially for specific graph types.
method Introduced modified Ricci curvature, established rigidity theorem, derived formulas for strongly regular graphs.
result Rigidity theorem for complete graphs and explicit formulas for strongly regular graphs.

The aim of this work is studying translating graphs by mean curvature flow in $\Real^3$. We prove non-existence of complete translating graphs over bounded domains in $\Real^2$. Furthermore, we show that there are only three types of complete translating graphs in $\Real^3$; entire graphs, graphs between two vertical p…

2012-12-27abs ↗pdf ↗

We introduce new sufficient conditions for intrinsic knotting and linking. A graph on n vertices with at least 4n-9 edges is intrinsically linked. A graph on n vertices with at least 5n-14 edges is intrinsically knotted. We also classify graphs that are 0, 1, or 2 edges short of being complete partite graphs with respe…

2007-01-15abs ↗pdf ↗

Study on linking numbers in random book embeddings of complete graphs.

problem Distribution and mean of linking numbers in random book embeddings of complete graphs.
method Analyzes a family of two-component links arising from random embeddings of complete graphs, using Eulerian numbers and linear growth in mean linking number.
result Mean of squared linking number over all random embeddings is $ rac{i}{6}$, where ii is the number of interior edges.

Conway-Gordon proved that for every spatial complete graph on 6 vertices, the sum of the linking numbers over all of the constituent 2-component links is congruent to 1 modulo 2, and for every spatial complete graph on 7 vertices, the sum of the Arf invariants over all of the Hamiltonian knots is also congruent to 1 mo…

2011-04-05abs ↗pdf ↗

New guarantees for matrix completion from any deterministic sampling patterns.

problem Proving guarantees for low-rank matrix completion from non-random sampling schemes.
method Introduced a graph with observed entries as edges to analyze the performance of constrained nuclear norm minimization algorithm.
result The algorithm can successfully complete the matrix if the observation graph is well-connected and has similar node degrees.

The study examines graphs over domains in product manifolds, revealing properties of geodesics and constant curvature.

problem Properties of graphs over domains in product manifolds.
method Analyzes minimal, translating, and CMC graphs over domains with piecewise smooth boundaries.
result Geodesic arcs in the boundary of domains for minimal and translating graphs, and constant curvature for CMC graphs.

We study the Seifert surfaces of a link by relating the embeddings of graphs by using induced graphs. As applications, we prove that every link LL is the boundary of an oriented surface which is obtained from a graph embedding of a complete bipartite graph K2,nK_{2,n}, where all voltage assignments on the edges of $K_{2…

2013-02-15abs ↗pdf ↗

In this thesis, we analyze the stochastic completeness of a heat kernel on graphs which is a function of three variables: a pair of vertices and a continuous time, for infinite, locally finite, connected graphs. For general graphs, a sufficient condition for stochastic completeness is given in terms of the maximum vale…

2007-12-10abs ↗pdf ↗

New method estimates neuronal connectivity from partially observed data.

problem Estimating neuronal connectivity from partially observed data.
method Two-step approach: low-rank covariance completion followed by graph structure estimation.
result Graph selection consistency demonstrated for one approach.