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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.

169,291 papers · 148 categories

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70140210280 · Jun 202019922001200920182026
48 results for signed bipartite graphs

Extends interior polynomial to signed bipartite graphs and connects to HOMFLY polynomial.

problem Invariants of signed bipartite graphs and their relation to HOMFLY polynomial.
method Extending interior polynomial to signed bipartite graphs and showing equality to HOMFLY polynomial part.
result Interior polynomial of signed bipartite graphs equals part of HOMFLY polynomial for planar case.

This paper presents an algorithm to construct a weighted adjacency matrix of a plane bipartite graph obtained from a pretzel knot diagram. The determinant of this matrix after evaluation is shown to be the Jones polynomial of the pretzel knot by way of perfect matchings (or dimers) of this graph. The weights are Tutte'…

2010-11-16abs ↗pdf ↗

The paper studies eigenvalues and Cheeger constants on symmetric graphs.

problem Characterizing eigenvalues and Cheeger constants on symmetric graphs.
method Characterization of the first eigenfunction via sign condition, and calculation of Cheeger constants using the limit of pp-Laplacian eigenvalues.
result Identifies Cheeger constants of symmetric graphs and their quotients.

Bipartite graphs with more edges than a threshold have positive curvature.

problem Determining the curvature of bipartite graphs based on edge density.
method Using a new formula for Lin--Lu--Yau curvature, the study establishes conditions for bipartite graphs to have positive curvature.
result Bipartite graphs with more edges than the specified threshold have positive Lin--Lu--Yau curvature.

Cascade-BGNN efficiently learns node representations for large-scale bipartite graphs.

problem Efficiently learning node representations for large-scale bipartite graphs with limited labels.
method Cascade-BGNN uses customized Inter-domain Message Passing (IDMP) and Intra-domain Alignment (IDA) for efficient information aggregation.
result Cascade-BGNN achieves domain-consistent, self-supervised, and efficient node representation learning.

The study extends Tutte's conflict graph concept to nonplanar graphs.

problem Understanding the structure of nonplanar graphs through conflict graphs.
method Defining a signed conflict graph for maximally planar subgraphs and analyzing their balance.
result For graphs with a flat embedding, every maximal planar subgraph has unbalanced conflict graphs if and only if the graph is intrinsically linked.

Improved text summarization using belief propagation on weighted bipartite graphs.

problem Text summarization from a graph theory perspective.
method Generalized belief propagation algorithm for weighted bipartite graphs.
result Our algorithm outperforms greedy methods in text summarization tasks.

A graph is intrinsically knotted if every embedding contains a knotted cycle. It is known that intrinsically knotted graphs have at least 21 edges and that the KS graphs, K7K_7 and the 13 graphs obtained from K7K_7 by Y\nabla Y moves, are the only minor minimal intrinsically knotted graphs with 21 edges. This set incl…

2014-11-07abs ↗pdf ↗

New method for matching bipartite and unipartite graphs without collapsing.

problem Matching between bipartite and unipartite networks without losing information.
method Formulated as an undirected graphical model, aligns graphs without collapsing.
result Consistent method with conditions for exact recovery of matching solution.

Researchers compute connectivity of braid group in bipartite graph configuration space.

problem Understanding connectivity of braid group in complex configuration space.
method Analysis of topology, hidden symmetry, and literature results.
result Explicit computation of connectivity at infinity for braid group.

We present evidence in support of a conjecture that a bipartite graph with at least five vertices in each part and |E(G)| \geq 4 |V(G)| - 17 is intrinsically knotted. We prove the conjecture for graphs that have exactly five or exactly six vertices in one part. We also show that there is a constant C_n such that a bipa…

2008-10-31abs ↗pdf ↗

Incorrect parity-based descriptions of realizable Gauss diagrams found, but bipartite graphs provide a valid approach.

problem Incorrect descriptions of realizable Gauss diagrams using parity conditions.
method Used bipartite graphs to describe realizable Gauss diagrams.
result Realizable Gauss diagrams can be accurately described using bipartite graphs.

The symmetries of complex molecular structures can be modeled by the {\em topological symmetry group} of the underlying embedded graph. It is therefore important to understand which topological symmetry groups can be realized by particular abstract graphs. This question has been answered for complete graphs; it is natu…

2014-12-23abs ↗pdf ↗

We present a simple combinatorial model for quasipositive surfaces and positive braids, based on embedded bipartite graphs. As a first application, we extend the well-known duality on standard diagrams of torus links to twisted torus links. We then introduce a combinatorial notion of adjacency for bipartite graph links…

2011-11-16abs ↗pdf ↗

New explicit constructions of unbalanced Ramanujan bipartite graphs.

problem Constructing bipartite Ramanujan graphs with specified degrees and avoiding certain edges.
method Presented explicit constructions and discussed known methods for Ramanujan graph construction.
result Affirmative answer to constructing unbalanced Ramanujan bipartite graphs under certain conditions.

New model for detecting communities in weighted bipartite networks.

problem No model for community detection in overlapping bipartite weighted networks.
method Introduces BiMMDF model allowing any distribution with block structure.
result Efficient algorithm with theoretical guarantee of consistent estimation.

New tests detect communities in dense bipartite graphs with high accuracy.

problem Detecting communities in dense bipartite graphs with high accuracy.
method Non-asymptotic upper and lower bounds, novel minimax-optimal tests, hard-thresholded nonlinear statistics.
result Non-asymptotic upper and lower bounds match for any configuration of graph sizes.

The study proves conjecture for specific Artin groups.

problem Proving conjecture about Artin groups' properties.
method Analyzing Artin groups associated to triangle-free graphs and cones over square-free bipartite graphs.
result Proves conjecture for specific Artin groups.

We generalize the construction of the Heegaard Floer homology for a singular knot to that for a balanced bipartite graph. For a given graph, we provide a combinatorial description of the Euler characteristic of its Heegaard Floer homology by using the "Kauffman states" on a graph diagram.

2014-01-26abs ↗pdf ↗

Temperley-Lieb algebras have been generalized to sl(3) web spaces. Since a cubic bipartite planar graph with suitable directions on edges is a web, the quantum sl(3) invariants naturally extend to all cubic bipartite planar graphs. First we completely classify them as a connected sum of primes webs. We also provide a m…

2006-02-21abs ↗pdf ↗

Proposes new embeddings for bipartite graphs to better capture indirect relationships.

problem Typical graph embeddings fail to capture type-specific features in bipartite graphs.
method Develops two types of embeddings (FOBE and HOBE) that decompose edges into indirect relationships and uses algebraic distance for higher-order sampling.
result Ensemble embeddings improve performance over individual methods in link prediction and recommendation tasks.

Graph neural networks speed up nonnegative matrix factorization.

problem Efficiently factorize nonnegative matrices for various applications.
method Developed a graph neural network that combines bipartite self-attention with ADMM updates.
result Significant acceleration achieved in nonnegative matrix factorization.

Paper uses bipartite graph to forecast cross-market returns, revealing asymmetry.

problem Cross-market return predictability and asymmetry between U.S. and Chinese markets.
method Directed bipartite graph capturing time-ordered linkages, hypothesis testing for edge selection, regularized and ensemble machine learning models.
result U.S. returns predict Chinese intraday returns, but not vice versa, revealing asymmetry.

New method embeds bipartite graphs into vectors, overcoming nonlinear challenges.

problem Learning vector representations for bipartite graphs with nonparametric components.
method Semiparametric exponential family distribution, pseudo-likelihood objective, gradient descent.
result Gradient descent achieves linear convergence rate and robust to model misspecification.

Formula for sl2\mathfrak{sl}_2 weight system on complete bipartite graphs.

problem Computing values of sl2\mathfrak{sl}_2 weight system for chord diagrams.
method Chmutov-Varchenko recurrence relation, Hopf algebra projections.
result Computed values for chord diagrams with complete bipartite intersection graphs.

We study the Seifert surfaces of a link by relating the embeddings of graphs by using induced graphs. As applications, we prove that every link LL is the boundary of an oriented surface which is obtained from a graph embedding of a complete bipartite graph K2,nK_{2,n}, where all voltage assignments on the edges of $K_{2…

2013-02-15abs ↗pdf ↗

Model for operational risk using bipartite graphs and heavy-tailed distributions.

problem Capturing event type and business line structure in operational risk data.
method Statistical model based on heavy-tailed distributions and bipartite graphs.
result Reliable estimates of tail risk and capital allocations with small data sets.

Estimates treatment effects in bipartite systems with partial eligibility and interference.

problem Randomized experiments in bipartite systems with partial treatment eligibility and interference.
method Formalizes eligibility-constrained bipartite experiments, defines PTTE and STTE, identifies conditions, develops ensemble estimators, introduces projection.
result Proposed estimators recover PTTE and STTE with low bias and variance, corrects interference bias in field experiments.