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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.

168,695 papers · 148 categories

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3673109145 · May 202619922001200920172026
48 results for vertex preservation

Network embedding aims to learn the low-dimensional representations of vertexes in a network, while structure and inherent properties of the network is preserved. Existing network embedding works primarily focus on preserving the microscopic structure, such as the first- and second-order proximity of vertexes, while th…

2017-11-29abs ↗pdf ↗

The study proves unique harmonic functions and combinatorial properties of vertex-transitive graphs.

problem Proving combinatorial properties of vertex-transitive graphs.
method Using harmonic functions and quasi-isometry to R\mathbb{R}, proving uniqueness and combinatorial results.
result Connective constant of non-degenerate vertex-transitive graphs is at least the golden mean.

Smooth curves from polygonal chains with vertex preservation and explicit curvature control.

problem Preserving vertices while smoothing polygonal chains to CC^{\infty} curves.
method Directional mollification operator for polygonal chains.
result Smooth curves that intersect original vertices and maintain explicit curvature bounds.

In this paper, we classify all of the five-sided three-dimensional hyperbolic polyhedra with one ideal vertex, which have the shape of a triangular prism. We show how to find each such polyhedron in the upper half-space model by considering lines and circles in the plane. Finally, we give matrix generators in $\mathrm{…

2018-08-23abs ↗pdf ↗

The paper introduces a method for detecting principal communities and embedding vertices.

problem Detecting and embedding vertices in graphs with community structure.
method Principal graph encoder embedding method that detects principal communities and produces vertex embeddings.
result The method successfully detects principal communities and produces accurate vertex embeddings.

Network representation learning (NRL) methods aim to map each vertex into a low dimensional space by preserving the local and global structure of a given network, and in recent years they have received a significant attention thanks to their success in several challenging problems. Although various approaches have been…

2018-10-16abs ↗pdf ↗

A graph embedding is a representation of graph vertices in a low-dimensional space, which approximately preserves properties such as distances between nodes. Vertex sequence-based embedding procedures use features extracted from linear sequences of nodes to create embeddings using a neural network. In this paper, we pr…

2020-01-21abs ↗pdf ↗

A triangulation of a surface with fixed topological type is called irreducible if no edge can be contracted to a vertex while remaining in the category of simplicial complexes and preserving the topology of the surface. A complete list of combinatorial structures of irreducible triangulations is made by hand for the on…

2015-11-02abs ↗pdf ↗

The study analyzes convergence of random-walk embeddings in graph theory.

problem Understanding the convergence behavior of random-walk based vertex embeddings.
method Theoretical analysis of convergence in single and double limits of NN and LL.
result Proved convergence of vertex embeddings under weak assumptions and derived concentration bounds.

Knot lattice homology invariant is preserved under certain 3-manifold diffeomorphisms.

problem Preserving knot lattice homology invariants under 3-manifold diffeomorphisms.
method Examined filtered lattice chain homotopy types of negative-definite forests with one unframed vertex.
result Filtered lattice chain homotopy type is an invariant of the diffeomorphism type of resulting 3-manifolds.

New method for learning on heterogeneous graphs without meta-paths.

problem Learning on heterogeneous graphs is sensitive to meta-paths choice, leading to poor performance.
method Decompose heterogeneous graph into homogeneous relation-type graphs, combine higher-order representations, use attention mechanisms.
result Our model outperforms state-of-the-art baselines in vertex classification tasks on heterogeneous graph datasets.

Network embedding has become a hot research topic recently which can provide low-dimensional feature representations for many machine learning applications. Current work focuses on either (1) whether the embedding is designed as an unsupervised learning task by explicitly preserving the structural connectivity in the n…

2018-05-18abs ↗pdf ↗

Minimal crystallizations of simply connected PL 4-manifolds are very natural objects. Many of their topological features are reflected in their combinatorial structure which, in addition, is preserved under the connected sum operation. We present a minimal crystallization of the standard PL K3 surface. In combination w…

2014-07-03abs ↗pdf ↗

Factor complexity bφ(n)b_φ(n) for a vertex coloring φφ of a regular tree is the number of colored nn-balls up to color-preserving automorphisms. Sturmian colorings are colorings of minimal unbounded factor complexity bφ(n)=n+2b_φ(n) = n+2. In this article, we prove an induction algorithm for Sturmian colorings using colored ba…

2016-09-20abs ↗pdf ↗

This paper addresses questions of quasi-isometric rigidity and classification for fundamental groups of finite graphs of groups, under the assumption that the Bass-Serre tree of the graph of groups has finite depth. The main example of a finite depth graph of groups is one whose vertex and edge groups are coarse Poinca…

2004-05-13abs ↗pdf ↗

Given a vertex of interest in a network G1G_1, the vertex nomination problem seeks to find the corresponding vertex of interest (if it exists) in a second network G2G_2. A vertex nomination scheme produces a list of the vertices in G2G_2, ranked according to how likely they are judged to be the corresponding vertex of …

2017-11-15abs ↗pdf ↗

634 vertex-transitive and over 10^103 non-vertex-transitive 27-vertex triangulations of octonionic projective plane.

problem Constructing and classifying triangulations of the octonionic projective plane.
method Combinatorial construction and analysis of symmetry groups.
result Found 634 vertex-transitive and over 10^103 non-vertex-transitive 27-vertex triangulations.

This paper proposes a new Quantum Spatial Graph Convolutional Neural Network (QSGCNN) model that can directly learn a classification function for graphs of arbitrary sizes. Unlike state-of-the-art Graph Convolutional Neural Network (GCNN) models, the proposed QSGCNN model incorporates the process of identifying transit…

2018-09-04abs ↗pdf ↗

Quasi-vertex-transitive maps are the homogeneous maps on the plane with finitely many vertex orbits under the action of their automorphism groups. We show that there exist quasi-vertex-transitive maps of types [p3,3][p^3, 3] for p1p \equiv 1 (mod 66), but there doesn't exist vertex-transitive map of such types. In particu…

2019-09-19abs ↗pdf ↗

For random graphs distributed according to stochastic blockmodels, a special case of latent position graphs, adjacency spectral embedding followed by appropriate vertex classification is asymptotically Bayes optimal; but this approach requires knowledge of and critically depends on the model dimension. In this paper, w…

2013-11-23abs ↗pdf ↗

The classical Sturm-Hurwitz-Kellogg theorem asserts that a function, orthogonal to an n-dimensional Chebyshev system on a circle, has at least n+1 sign changes. We prove the converse: given an n-dimensional Chebyshev system on a circle and a function with at least n+1 sign changes, there exists an orientation preservin…

2007-10-31abs ↗pdf ↗

New proof for global rigidity of vertex scaling on polyhedral surfaces.

problem Global rigidity of vertex scaling on polyhedral surfaces.
method Elementary variational proof based on continuity of eigenvalues and extension of convex functions.
result Global rigidity of vertex scaling proved without involving 3D hyperbolic geometry.

Random projections help in representing sparse graphs efficiently.

problem Efficiently representing sparse graphs of varying sizes and vertex sets.
method Random projection of adjacency matrices to retain graph functionality and properties.
result Random projections can accurately represent graphs of different sizes and vertex sets in the same space.

A semi-regular tiling of the hyperbolic plane is a tessellation by regular geodesic polygons with the property that each vertex has the same vertex-type, which is a cyclic tuple of integers that determine the number of sides of the polygons surrounding the vertex. We determine combinatorial criteria for the existence, …

2018-06-29abs ↗pdf ↗

We introduce a notion of cross-flips: local moves that transform a balanced (i.e., properly (d+1)(d+1)-colored) triangulation of a combinatorial dd-manifold into another balanced triangulation. These moves form a natural analog of bistellar flips (also known as Pachner moves). Specifically, we establish the following the…

2015-12-14abs ↗pdf ↗

In this paper, we develop a new aligned vertex convolutional network model to learn multi-scale local-level vertex features for graph classification. Our idea is to transform the graphs of arbitrary sizes into fixed-sized aligned vertex grid structures, and define a new vertex convolution operation by adopting a set of…

2019-02-26abs ↗pdf ↗

Given a graph in which a few vertices are deemed interesting a priori, the vertex nomination task is to order the remaining vertices into a nomination list such that there is a concentration of interesting vertices at the top of the list. Previous work has yielded several approaches to this problem, with theoretical re…

2016-07-05abs ↗pdf ↗

The paper explores how to find relevant vertices in one graph using another graph's attributes and structure.

problem Finding relevant vertices in one graph using another graph's attributes and structure.
method Theoretical and practical exploration of vertex nomination schemes that leverage both content (edge and vertex attributes) and context (network topology).
result Necessary and sufficient conditions for schemes that use both content and context to outperform those using only one.

Investigates the vertex curve of smooth surfaces in 3D space, connecting geometry and image analysis.

problem Understanding the geometry of smooth surfaces in 3D space.
method Analyzes the vertex curve, related to differential geometry and symmetry sets of isophote curves.
result Establishes connections between the vertex curve and other geometric curves like parabolic and flecnodal curves.

Let MM be a Riemannian manifold. For pMp\in M, the tensor algebra of the negative part of the (complex) affinization of the tangent space of MM at pp has a natural structure of a meromorphic open-string vertex algebra. These meromorphic open-string vertex algebras form a vector bundle over MM with a connection. We …

2012-05-14abs ↗pdf ↗

Marked vertex diagrams provide a combinatorial way to represent knotted surfaces in R4\mathbb{R}^4; including virtual crossings allows for a theory of virtual knotted surfaces and virtual cobordisms. Biquandle counting invariants are defined only for marked vertex diagrams representing knotted orientable surfaces; we e…

2014-09-27abs ↗pdf ↗