Latest Articles for Graph Theory

A look into the types and properties of random intersection graphs.

Explore how matroids impact combinatorics, geometry, and algebra.

Methods to minimize graph diameter through arc reversal and its real-world applications.

A look into average hereditary graphs and their significance in graph theory.

A new tool simplifies understanding complex machine learning models.

A new symmetric approach improves strategy development in discounted payoff games.

New algorithms improve weight-matching in matroids for practical problem-solving.

This study links braid varieties to labeled trees through a mathematical bijection.

Effective strategies for addressing uncertainty in Graph Neural Networks enhance reliability.

An overview of quantum graphs, their structure, and eigenvalue significance.

Developing an algorithm for the efficient factorization of the Brauer monoid.

A deep dive into the geodesic center problem and its implications.

Examining the symmetries and structures of generalized Petersen graphs.

A study examining tournament structures and their unique graph properties.

A look into the significance and applications of nearly orthogonal sets of vectors.

Explore methods for identifying stable sets within graph structures governed by matroid rules.

Learn how identifying codes help pinpoint faults in networked systems.

Explore the relationship between graph colorings and eigenvalues in mathematics.

This article examines nodal count and surplus in graphs with independent cycles.

This article examines colored graphs and their significance in various fields.

A new method, DepGraph, improves software bug detection accuracy.

Explore the cops and robber game and its relevance in graph theory.

A look at spanners and their role in efficient graph connections.

Research reveals methods to estimate space geometry using random geometric graphs.

Introducing Smart, a method for better GNN performance in changing graphs.

This article presents a graph theory approach to assess non-integrability in spin systems.

A look into grouping techniques in correlation clustering for data relationships.

A new quantum method shows promise in tackling complex optimization challenges.

Discover how lopsp-operations retain symmetries in map structures.

Learn how distributed graph processing manages complex datasets across multiple systems.

Exploring paths and their mathematical representations for analysis and applications.

A look into norms, orthogonality, and their graphical representation.

A look into the complexities of identifying densest subgraphs in various graph structures.

Explore the structure and relevance of directed graphs in various fields.

Discover how GPU technology improves PageRank efficiency for dynamic networks.

A study on strategies in a vertex coloring game between Alice and Bob.

Soft Mapper improves data visualization by optimizing filter functions in Mapper graphs.

Combining contrastive learning with control theory for graph analysis.

This article presents a new approach for selecting significant subgraphs in various fields.

Exploring the role and impact of pseudoline arrangements in mathematical theory.