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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.

169,181 papers · 148 categories

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48 results for low-stretch spanning trees

New method reduces spectral clustering complexity by sparsifying graphs.

problem Computational bottleneck in spectral clustering due to eigendeomposition of NN graph Laplacian matrices.
method Spectrum-preserving graph sparsification via low-stretch spanning trees and spectral off-tree embedding.
result Ultra-sparse NN graphs with preserved first few eigenvectors for scalable spectral clustering.

The Jones polynomial can be expressed in terms of spanning trees of the graph obtained by checkerboard coloring a knot diagram. We show there exists a complex generated by these spanning trees whose homology is the reduced Khovanov homology. The spanning trees provide a filtration on the reduced Khovanov complex and a …

2006-07-20abs ↗pdf ↗

Study examines insurance sector linkages and systemic risk using dynamic spanning trees.

problem Interlinkages and systemic risk in the European insurance sector.
method Analysis of linkage dynamics and systemic risk using correlation networks, copulas, and minimum spanning trees.
result Minimum spanning trees describe linkage dynamics in the European insurance sector.

Study asymptotic expansion of graph Laplacian on discretized surfaces, relating spanning trees and cycle-rooted forests.

problem Asymptotic expansion of graph Laplacian on discretized surfaces.
method Relate spanning trees and cycle-rooted spanning forests to zeta-regularized determinants.
result Explicit formula for limit of cycle-rooted spanning forest probability and topological observables.

Oriented ribbon graphs (dessins d'enfant) are graphs embedded in oriented surfaces. A quasi-tree of a ribbon graph is a spanning subgraph with one face, which is described by an ordered chord diagram. We show that for any link diagram LL, there is an associated ribbon graph whose quasi-trees correspond bijectively to …

2007-05-23abs ↗pdf ↗

New algorithm for private minimum spanning tree release with improved accuracy.

problem Privacy-preserving minimum spanning tree release for graphs.
method Formal differential privacy definition for graphs, new MST algorithm, combining sanitizing mechanism and MST clustering.
result Improved accuracy in weight approximation compared to state of the art.

Mutual info trees show higher risk in Brazilian equity network during transition.

problem Identifying nonlinear dependencies in Brazilian equity network.
method Used mutual information minimum spanning trees to compare with linear correlation.
result Mutual info trees indicate higher risk and power law tail in volatility transmission.

Optimal coupling among random vectors with known statistics and correlation structure found using minimum spanning tree over measure-valued vertices.

problem Finding the optimal coupling among random vectors with known statistics and correlation structure.
method Formulating the problem as a minimum spanning tree over measure-valued vertices and solving it in two steps.
result Optimal coupling found using the minimum spanning tree approach.

We introduce block-tree graphs as a framework for deriving efficient algorithms on graphical models. We define block-tree graphs as a tree-structured graph where each node is a cluster of nodes such that the clusters in the graph are disjoint. This differs from junction-trees, where two clusters connected by an edge al…

2010-07-04abs ↗pdf ↗

We iterate Manolescu's unoriented skein exact triangle in knot Floer homology with coefficients in the field of rational functions over Z/2Z\mathbb{Z}/2\mathbb{Z}. The result is a spectral sequence which converges to a stabilized version of delta-graded knot Floer homology. The (E2,d2)(E_2,d_2) page of this spectral sequence …

2011-05-26abs ↗pdf ↗

Paper proposes an algorithm to reconstruct optimal model structure from graph adjacency matrix.

problem Optimal model structure reconstruction from weighted colored graph adjacency matrix.
method Uses prize-collecting Steiner tree algorithm to reconstruct minimum spanning tree.
result Demonstrates the effectiveness of the prize-collecting Steiner tree algorithm for model structure reconstruction.

Oriented ribbon graphs (dessins d'enfant) are graphs embedded in oriented surfaces. The Bollobás-Riordan-Tutte polynomial is a three-variable polynomial that extends the Tutte polynomial to oriented ribbon graphs. A quasi-tree of a ribbon graph is a spanning subgraph with one face, which is described by an ordered chor…

2007-05-23abs ↗pdf ↗

A new hierarchical clustering method selects representative points from sub-minimum-spanning-trees.

problem Selecting representative points for hierarchical clustering to improve robustness and reliability.
method Identify representative points using reciprocal nearest data points in sub-minimum-spanning-trees.
result The proposed algorithm outperforms other methods in accuracy and efficiency.

The classical Matrix-Tree Theorem allows one to list the spanning trees of a graph by monomials in the expansion of the determinant of a certain matrix. We prove that in the case of three-graphs (that is, hypergraphs whose edges have exactly three vertices) the spanning trees are generated by the Pfaffian of a suitably…

2001-09-17abs ↗pdf ↗

We consider the detection of activations over graphs under Gaussian noise, where signals are piece-wise constant over the graph. Despite the wide applicability of such a detection algorithm, there has been little success in the development of computationally feasible methods with proveable theoretical guarantees for ge…

2012-06-05abs ↗pdf ↗

We investigate the problem of sequentially predicting the binary labels on the nodes of an arbitrary weighted graph. We show that, under a suitable parametrization of the problem, the optimal number of prediction mistakes can be characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the g…

2012-12-21abs ↗pdf ↗

We study relations between the Alexander-Conway polynomial L\nabla_L and Milnor higher linking numbers of links from the point of view of finite-type (Vassiliev) invariants. We give a formula for the first non-vanishing coefficient of L\nabla_L of an m-component link L all of whose Milnor numbers μi1...ipμ_{i_1... i_p} van…

2001-11-08abs ↗pdf ↗

Correlation matrices of foreign exchange rate time series are investigated for 60 world currencies. Minimal Spanning Tree (MST) graphs for the gold, silver and platinum are presented. Inverse power like scaling is discussed for these graphs as well as for four distinct currency groups (major, liquid, less liquid and no…

2008-09-02abs ↗pdf ↗

We introduce a new class of lower bounds on the log partition function of a Markov random field which makes use of a reversed Jensen's inequality. In particular, our method approximates the intractable distribution using a linear combination of spanning trees with negative weights. This technique is a lower-bound count…

2012-03-15abs ↗pdf ↗

Determinants of theta curves and symmetric graphs are studied.

problem Understanding the determinants of theta curves and symmetric graphs.
method Combinatorial approach using Kirchhoff's Matrix Tree Theorem and spanning tree enumeration.
result The determinant of a simple theta curve is the product of the determinants of its constituent knots.

This paper proposes a new method to adapt ROMs for new parameter settings.

problem ROMs lack robustness when applied to new parameter settings.
method Regression trees on Grassmann Manifold to learn the mapping between parameters and POD bases.
result The proposed method is capable of establishing the mapping between parameters and POD bases, thus adapting ROMs for new parameters.

Three methods combine one-class classifiers with MST-CD and N-ary Trees for binary classification.

problem Binary classification with overlapping and imbalanced classes.
method Combining one-class classifiers with MST-CD and N-ary Trees to handle inconsistencies and spurious connections.
result The proposed methods are feasible and comparable to state-of-the-art algorithms.

It is conjectured that the Khovanov homology of a knot is invariant under mutation. In this paper, we review the spanning tree complex for Khovanov homology, and reformulate this conjecture using a matroid obtained from the Tait graph (checkerboard graph) G of a knot diagram K. The spanning trees of G provide a filtrat…

2008-01-31abs ↗pdf ↗

Paper introduces clock moves for plane graphs and proves Alexander polynomial properties.

problem Alexander polynomial of plane graphs and unimodality of coefficients.
method Introduces clock moves for plane graphs and develops a spanning tree model of Alexander polynomial.
result Proves unimodal property of Alexander polynomial coefficients and confirms conjectures.

The paper confirms a conjecture linking link bipyramid volume and Mahler measure.

problem Link bipyramid volume and Mahler measure relationship for alternating links.
method Using isoradial graphs and spanning trees on lattices, the authors confirm the conjecture for two examples and calculate five more.
result The conjecture is confirmed for specific examples of alternating links.

The paper develops efficient algorithms for sampling from random spanning trees and determinantal point processes.

problem Sampling from strongly Rayleigh distributions efficiently.
method Optimal sublinear sampling algorithms for random spanning trees and determinantal point processes.
result Achieves optimal sublinear sampling for strongly Rayleigh distributions.

A behavior of extreme networks under deformations of their boundary sets is investigated. It is shown that analyticity of a deformation of boundary set guarantees preservation of the networks types for minimal spanning trees, minimal fillings and so-called stable shortest trees in the Euclidean space.

2015-06-23abs ↗pdf ↗

MSTs provide a fast and meaningful clustering method in low-dimensional data.

problem Quantifying the effectiveness of MSTs in low-dimensional clustering tasks.
method Identifying upper bounds for MST performance, reviewing and extending existing MST-based partitioning schemes.
result MST methods can be very competitive, often outperforming traditional clustering algorithms.