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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.

168,742 papers · 148 categories

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48 results for vertex conditions

The paper studies graph products of groups and recovers graph and vertex groups under certain conditions.

problem Recovering graph and vertex groups from graph products of groups.
method Using non-generic almost positive sentences, the authors show that under specific conditions, the underlying graph and vertex groups can be recovered.
result The core of the defining graph determines an invariant of the elementary theory of a right-angled Artin group.

Researchers link vertex algebras to non-Kähler solutions of the Hull-Strominger system.

problem Constructing representations of vertex algebras from non-Kähler solutions of the Hull-Strominger system.
method Embedding the N=2 superconformal vertex algebra in the chiral de Rham complex of a string Courant algebroid, with a condition on the Hermitian-Yang-Mills connection.
result Any solution of the Hull-Strominger system satisfying the Hermitian-Yang-Mills condition has an associated N=2 embedding.

We develop an algorithm of polynomial time complexity to construct the Grushko decomposition of fundamental groups of graphs of free groups with cyclic edge groups. Our methods rely on analysing vertex links of certain CAT(0) square complexes naturally associated with a special class of the above groups. Our main resul…

2018-07-17abs ↗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.

We study triangulations T\cal T defined on a closed disc XX satisfying the following condition: In the interior of XX, the valence of all vertices of T\cal T except one of them (the irregular vertex) is 66. By using a flat singular Riemannian metric adapted to T\cal T, we prove a uniqueness theorem when the valen…

2018-02-16abs ↗pdf ↗

The Bergman space and conformally flat 2-disk operads are linked to vertex operator algebras.

problem Understanding invariants of 2D Riemannian manifolds using algebraic structures.
method Introducing a suboperad and showing algebraic structures, using conformally flat factorization homology.
result The Bergman space is identified with the ind-Hilbert space completion of the affine Heisenberg vertex operator algebra.

Hypergraphs are used in machine learning to model higher-order relationships in data. While spectral methods for graphs are well-established, spectral theory for hypergraphs remains an active area of research. In this paper, we use random walks to develop a spectral theory for hypergraphs with edge-dependent vertex wei…

2019-05-20abs ↗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.

Study meromorphic open-string vertex algebras and modules over Riemannian manifolds.

problem Characterize meromorphic open-string vertex algebras and their modules over Riemannian manifolds.
method Explicitly determine bases for meromorphic open-string vertex algebras and their modules, using parallel tensors and eigenfunctions of the Laplace-Beltrami operator.
result Every irreducible module of a specific type is completely reducible if every composition factor is generated by eigenfunctions of eigenvalue p(p1)Kp(p-1)K for some pZ+p\in \mathbb{Z}_+.

Normal 4-pseudomanifolds with one or two singular vertices are derived from specific operations.

problem Understanding face-number invariants in normal 4-pseudomanifolds.
method Structural analysis and sequence of operations (vertex foldings, edge foldings, connected sums).
result Normal 4-pseudomanifolds with specific conditions can be derived from boundary complexes of 5-simplices.

We give a technical result that implies a straightforward necessary and sufficient conditions for a graph of groups with virtually cyclic edge groups to be one ended. For arbitrary graphs of groups, we show that if their fundamental group is not one-ended, then we can blow up vertex groups to graphs of groups with simp…

2014-03-25abs ↗pdf ↗

We prove the existence of continuous boundary extensions (Cannon-Thurston maps) for the inclusion of a vertex space into a tree of (strongly) relatively hyperbolic spaces satisfying the qi-embedded condition. This implies the same result for inclusion of vertex (or edge) subgroups in finite graphs of (strongly) relativ…

2007-08-27abs ↗pdf ↗

Tightness of a triangulated manifold is a topological condition, roughly meaning that any simplexwise linear embedding of the triangulation into euclidean space is "as convex as possible". It can thus be understood as a generalization of the concept of convexity. In even dimensions, super-neighborliness is known to be …

2009-11-26abs ↗pdf ↗

Motivated by his studies in knot theory V. Vassiliev introduced XX-graphs as regular 4-valent graph with a structure of pairs of opposite edges at each vertex. He conjectured the conditions under which XX-graph can be embedded into a plane respecting the the XX-structure at every vertex. The conjecture was proved by…

2012-10-04abs ↗pdf ↗

Graph neural networks often assume vertex labels are independent, but we show this is rarely true and propose a method to improve predictions.

problem Graph neural networks often assume vertex labels are conditionally independent given their neighborhood features, which is rarely true.
method We model the joint distribution of residuals on vertices with a parameterized multivariate Gaussian and estimate parameters by maximizing the marginal likelihood of the observed labels.
result Our method achieves substantially higher accuracy than competing baselines and can be interpreted as the strength of correlation among connected vertices.

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 ↗

A natural approach to analyze interaction data of form "what-connects-to-what-when" is to create a time-series (or rather a sequence) of graphs through temporal discretization (bandwidth selection) and spatial discretization (vertex contraction). Such discretization together with non-negative factorization techniques c…

2014-06-24abs ↗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.

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 ↗

We study the {\it arc and curve} complex AC(S)AC(S) of an oriented connected surface SS of finite type with punctures. We show that if the surface is not a sphere with one, two or three punctures nor a torus with one puncture, then the simplicial automorphism group of AC(S)AC(S) coincides with the natural image of the exten…

2009-07-19abs ↗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.

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 ↗

A piecewise flat Finsler metric on a triangulated surface MM is a metric whose restriction to any triangle is a flat triangle in some Minkowski space with straight edges. One of the main purposes of this work is to study the properties of geodesics on a piecewise flat Finsler surface, especially when it meets a vertex…

2016-08-21abs ↗pdf ↗

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 ↗

Graph matching with feature vectors is solved using a two-layer graph neural network.

problem Graph matching in the presence of sparse binary features.
method Two-layer graph neural network with graph structure.
result Graph neural network can recover correct mapping with high probability under certain conditions.

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 ↗