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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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24477194 · Jun 202019922001200920172026
48 results for edge count

New test detects differences in heterogeneous datasets.

problem Detecting differences between two samples with unknown heterogeneity.
method Developed a nonparametric testing procedure that handles latent heterogeneity through a composite null.
result The test accurately detects differences in the presence of unknown heterogeneity.

A new test statistic counts tree co-occurrences to detect edge correlation between networks.

problem Detecting edge correlation between networks using latent vertex correspondence.
method The test statistic is based on counting co-occurrences of signed trees for a family of non-isomorphic trees.
result The test runs in n2+o(1)n^{2+o(1)} time and succeeds with high probability for large nn.

odeN efficiently approximates multiple temporal motifs in large networks.

problem Efficiently counting multiple temporal motifs in large temporal networks.
method odeN is a sampling-based algorithm that provides accurate probabilistic approximations of motif counts.
result odeN provides accurate approximations of motif counts in a fraction of the time needed by state-of-the-art methods.

From social science to biology, numerous applications often rely on graphlets for intuitive and meaningful characterization of networks at both the global macro-level as well as the local micro-level. While graphlets have witnessed a tremendous success and impact in a variety of domains, there has yet to be a fast and …

2015-06-13abs ↗pdf ↗

After defining convex near-polygons, a formula enumerating the number of triangulations of such configurations is derived in terms of edge-polynomials. The paper describes also a transfer-matrix approach for computing quantities related to triangulations.

2003-10-14abs ↗pdf ↗

Consider the collection of edge bicolorings of a graph that is cellularly embedded on an orientable surface. In this work, we count the number of equivalence classes of such colorings under two relations: reversing colors around a face and reversing colors around a vertex. In the case of the plane, this is well studied…

2018-02-10abs ↗pdf ↗

In this article we give an explicit description of the representation matrix of a Heisenberg type action constructed by Blanchet, Habegger, Masbaum and Vogel. We give the matrix in terms of a ribbon graph and its admissible colorings. We show that components of the representation matrix satisfies the {\it external edge…

2011-09-26abs ↗pdf ↗

Study reveals limits of detecting local geometry in random graphs.

problem Detecting local geometry in random graphs with hidden communities.
method Introduced model and used information-theoretic and computational limits to investigate detection.
result Detection threshold determined at d=Θ~(k2k6/n3)d = \widetildeΘ(k^2 \vee k^6/n^3) for fixed pp.

Networks are a fundamental tool for modeling complex systems in a variety of domains including social and communication networks as well as biology and neuroscience. Small subgraph patterns in networks, called network motifs, are crucial to understanding the structure and function of these systems. However, the role of…

2016-12-29abs ↗pdf ↗

We construct a small regular cellular decomposition of the Fulton MacPherson operad FM2FM_2 that is compatible with the operad composition. The cells are indexed by trees with edges of two colors and vertices labelled by cells of the cacti operad. We compute the generating functions counting the cells, that are algebrai…

2019-06-18abs ↗pdf ↗

Graphlets are induced subgraphs of a large network and are important for understanding and modeling complex networks. Despite their practical importance, graphlets have been severely limited to applications and domains with relatively small graphs. Most previous work has focused on exact algorithms, however, it is ofte…

2017-01-06abs ↗pdf ↗

When analyzing weighted networks using spectral embedding, a judicious transformation of the edge weights may produce better results. To formalize this idea, we consider the asymptotic behavior of spectral embedding for different edge-weight representations, under a generic low rank model. We measure the quality of dif…

2019-10-12abs ↗pdf ↗

Let KK be a polygonal knot in general position with vertex set VV. A \emph{generic quadrisecant} of KK is a line that is disjoint from the set VV and intersects KK in exactly four distinct points. We give an upper bound for the number of generic quadrisecants of a polygonal knot KK in general position. This upper…

2015-02-10abs ↗pdf ↗

New exact tests detect changepoints in binary and count data, especially when normal approximations fail.

problem Detecting changepoints in multichannel binary and count data.
method Exact tests combining two-sample conditional tests with multiplicity correction.
result Exact tests are much more powerful than asymptotic tests in various settings.

CAWs learn temporal network dynamics without node identities or edge attributes.

problem Learning temporal network dynamics without node identities or edge attributes.
method Causal Anonymous Walks (CAWs) using temporal random walks and hitting counts.
result CAW-N outperforms previous methods in predicting links over 6 real temporal networks.

Let XX be a compact, geodesically complete, locally CAT(0) space such that the universal cover admits a rank one axis. Assume XX is not homothetic to a metric graph with integer edge lengths. Let PtP_t be the number of parallel classes of oriented closed geodesics of length t\le t; then $\lim\limits_{t \to \infty} P…

2019-03-18abs ↗pdf ↗

We present a probabilistic framework for overlapping community discovery and link prediction for relational data, given as a graph. The proposed framework has: (1) a deep architecture which enables us to infer multiple layers of latent features/communities for each node, providing superior link prediction performance o…

2017-06-16abs ↗pdf ↗

We study the spectral geometric properties of the scalar Laplace-Beltrami operator associated to the Weil-Petersson metric gWPg_{\mathrm{WP}} on Mγ\mathcal M_γ, the Riemann moduli space of surfaces of genus γ>1γ> 1. This space has a singular compactification with respect to gWPg_{\mathrm{WP}}, and this metric has crossing…

2012-06-18abs ↗pdf ↗

Understanding how users navigate in a network is of high interest in many applications. We consider a setting where only aggregate node-level traffic is observed and tackle the task of learning edge transition probabilities. We cast it as a preference learning problem, and we study a model where choices follow Luce's a…

2016-10-20abs ↗pdf ↗

The topology of a power grid affects its dynamic operation and settlement in the electricity market. Real-time topology identification can enable faster control action following an emergency scenario like failure of a line. This article discusses a graphical model framework for topology estimation in bulk power grids (…

2017-07-05abs ↗pdf ↗

Efficient algorithm for graph matching in correlated stochastic block models.

problem Graph matching in correlated stochastic block models with balanced communities.
method Extends previous work on centered subgraph counts to handle estimation errors and edge correlation.
result First efficient algorithm for graph matching in the logarithmic average degree regime, matching all but a vanishing fraction of vertices with high probability.

GATs improve node regression on noisy graphs with provable advantage.

problem Improving node regression on graphs with noisy covariates and edges.
method Proposes a GAT designed for denoising proxy features in node regression.
result GAT achieves lower error in estimating regression coefficient and predicting responses.

Flow Matching for count data improves sample quality and efficiency.

problem Mapping between count distributions across batches or time points in high-dimensional count data.
method count-FM, a flow-matching framework based on a continuous-time birth-death process with local unit jumps.
result count-FM achieves better sample quality than representative baselines while using fewer parameters.

A fast algorithm for counting Markov equivalent DAGs and designing experiments.

problem Counting Markov equivalent DAGs and designing experiments efficiently.
method LazyIter algorithm for efficient iteration over MECs, utilizing intervention results.
result Significant reduction in time complexity for sparse graphs (O(n)).

The purpose of this paper is to study harmonic spinors defined on a 1-parameter family of Einstein manifolds which includes Taub-NUT, Eguchi-Hanson and P2(C)P^2(C) with the Fubini-Study metric as particular cases. We discuss the existence of and explicitly solve for spinors harmonic with respect to the Dirac operator twis…

2017-05-07abs ↗pdf ↗