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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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265379105 · May 202619922001200920172026
48 results for vertex density

The L1 loss landscape of neural nets near local minima behaves differently, revealing exponential decay and increased vertex density.

problem Understanding the L1 loss landscape of neural nets near local minima.
method Iterative minimization of the loss function on adjacent vertices of the Deep ReLU Simplex algorithm.
result Exponential decay of loss levels and increased vertex density around local minima.

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.

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 ↗

Given a piecewise smooth submanifold Γn1RmΓ^{n-1} \subset \R^m and pRmp \in \R^m, we define the {\em vision angle} Πp(Γ)Π_p(Γ) to be the (n1)(n-1)-dimensional volume of the radial projection of ΓΓ to the unit sphere centered at pp. If pp is a point on a stationary nn-rectifiable set ΣRmΣ\subset \R^m with boundary ΓΓ, then w…

2017-09-07abs ↗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 ↗

We analyze directed, unweighted graphs obtained from xiRdx_i\in \mathbb{R}^d by connecting vertex ii to jj iff xixj<ε(xi)|x_i - x_j| < ε(x_i). Examples of such graphs include kk-nearest neighbor graphs, where ε(xi)ε(x_i) varies from point to point, and, arguably, many real world graphs such as co-purchasing graphs. We ask whethe…

2014-11-20abs ↗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 ↗

Estimating dimension from sparse random geometric graphs.

problem Estimating the dimension of the underlying space from a random geometric graph.
method An estimator of dimension is derived using the adjacency matrix of the graph, under specific conditions on the density and threshold.
result An estimator converges to the true dimension with high probability under certain conditions.

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 ↗

Paper characterizes optimal graph clustering limits under a new model.

problem Graph clustering under varying edge density signals.
method Introduced Popularity-Adjusted Block Model (PABM) to address SBM and DCBM limitations.
result Cluster recovery possible even when edge density signals vanish, highlighting local connectivity differences.

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.

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 ↗

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 ↗

Consider a group G and a family A\mathcal{A} of subgroups of G. We say that vertex finiteness holds for splittings of G over A\mathcal{A} if, up to isomorphism, there are only finitely many possibilities for vertex stabilizers of minimal G-trees with edge stabilizers in A\mathcal{A}. We show vertex finiteness when G…

2013-11-12abs ↗pdf ↗

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.

Given a finite graph of relatively hyperbolic groups with its fundamental group relatively hyperbolic and edge groups quasi-isometrically embedded and relatively quasiconvex in vertex groups, we prove that vertex groups are relatively quasiconvex if and only if all the vertex groups have finite relative height in the f…

2015-08-21abs ↗pdf ↗

New method clusters directed and undirected graphs without losing directional information.

problem Clustering directed graphs due to asymmetry in edge connectivity.
method Generalized Dirichlet Energy (GDE) and generalized spectral clustering (GSC).
result GSC outperforms existing methods in clustering accuracy and robustness.

Let G and F be finitely generated groups with infinitely many ends and let A and B be graph of groups decompositions of F and G such that all edge groups are finite and all vertex groups have at most one end. We show that G and F are quasi-isometric if and only if every one-ended vertex group of A is quasi-isometric to…

2004-05-14abs ↗pdf ↗