Latest Articles for Graph Theory

An overview of distributed coloring, focusing on list defective coloring techniques.

New methods improve graph communication and node distinction in GNNs.

Exploring the assignment of binary addresses in edge-weighted graphs.

Learn how edge-geodetic sets help monitor network connections.

Using generative AI to enhance wireless network performance through graph generation techniques.

A new approach enhances the accuracy of reasoning graphs from language inputs.

Learn how graph analysis helps detect unusual patterns in data.

Researching efficient ways to optimize graphs using neutral atom arrays in quantum computing.

This article discusses tournament graphs and their analysis using streaming algorithms.

This article discusses how trees can help analyze complex data interactions.

This article explores nodal count and its significance in graph theory.

A look at flat-virtual knots and their role in knot theory.

Inductive GNNs face privacy threats from link stealing attacks.

Examining how to uniquely pack three copies of 2-factors in graph theory.

New techniques simplify the calculation of the Wishart normalising constant in Bayesian models.

Exploring self-avoiding walks and their implications on complex graph structures.

A look into Ramsey and Turan theories in graph structures.

Efficient algorithms and heuristics for evaluating scanwidth in directed acyclic graphs.

This study examines the Weisfeiler-Leman dimension and coherent configurations in graphs.

This study examines when monochromatic subgraph counts show normal distribution patterns.

Innovative methods in counting subgraphs using graph kernels for various applications.

This article examines how edge density affects triangle formation in random graphs.

A novel approach to enhance graph consistency through transformation rules and application conditions.

A new method enhances the reliability of GCNs against adversarial changes.

Examining the relationships and complexity of Weihrauch degrees through equational theory.

Explore particle movement and its mathematical pathways in a structured space.

This paper presents new algorithms for managing interval selection in continuous data streams.

Explore the significance of tree-packing in computer science and its applications.

Developing algorithms for effective triangle sampling in graph data streams.

A deep dive into rainbow saturation numbers and edge-coloring challenges in graph theory.

Learn how random projections aid in analyzing complex relationships in large data sets.

A new model improves graph generation with discrete-state and continuous-time methods.

This article reveals minimal cellular resolutions for path ideals in graph theory.

Examining total coloring strategies for fullerene nanodiscs and their properties.

A strategy to protect sensitive connections in graph data while releasing useful information.

A framework to assess graph containers and their performance in algorithms.

New methods improve efficiency in identifying communities within evolving graphs.

New polynomial filters improve graph analysis performance across various applications.

New methods for graph clustering allow for flexible grouping without knowing cluster numbers.

Free sets help in arranging planar graphs without edge crossings.