Latest Articles for Graph Theory

Examining how graph rewriting systems operate through structured frameworks.

A study of coloring and matching in mathematical structures with group actions.

Analyzing point arrangements in star graphs to understand configuration stability.

A new method to improve model training from noisy graph data.

An improved algorithm for cycle packing in unit disk graphs.

A new method enhances the learning capabilities of Graph Neural Networks.

A look into unique arrangements and properties of Steiner triple systems.

This article discusses methods for preparing graph states using Clifford operations.

Exploring the applications and algorithms of minimal spanning arborescences in various fields.

A new method tackles the challenges of labeling nodes in open-world settings.

Explore the role of sparse covers in algorithm design and network efficiency.

Exploring the relationships between wheel graphs, integrals, and various mathematical theories.

Exploring the relationship between graphs and quantum states for efficient communication.

Exploring new models for better graph data analysis.

Exploring the formation and behavior of clusters in a two-dimensional slab.

A new framework enhances graph representation learning across multiple tasks.

This study examines the behavior of random Motzkin paths influenced by weights and boundaries.

New methods improve efficiency in graph coloring and bandwidth coloring challenges.

Discovering lasting patterns in changing graphs with quick algorithms.

This work focuses on improving link prediction accuracy with innovative sampling methods.

A study on finding maximum-sized properly colored forests in graph theory.

A new protocol improves the training efficiency of Graph Neural Networks using CPU and GPU.

Automated tool GGDMiner helps uncover relationships in graph data effortlessly.

Exploring minimal local sets and their role in graph theory.

Introducing GreeDy and CoDy for better clarity in dynamic graph models.

HERTA improves efficiency in training Unfolded GNNs while maintaining clarity and interpretability.

Learn about methods for identifying even cycles in large networks and their importance.

Examining the reliability of hypergraphs amidst random edge failures.

New techniques improve efficiency in analyzing graph properties and satisfiability.

A comprehensive proof of the Kohayakawa-Kreuter conjecture sheds light on graph properties.

Examining energy estimates and graph invariants in the SYK model.

An overview of quivers and their representations in mathematics.

Examining the challenges of locating kings in directed graphs.

New model improves circuit design prediction through directed hypergraphs.

This article discusses the need for better benchmarking in graph processing research.

Examining how the matching number behaves in sparse random graphs.

A look at directed graphs and the significance of minimal paths within them.

Exploring role assignments in graphs and their applications in various fields.

A look into the relationship between coloured triangulations and their flip graphs.

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