Latest Articles for Graph Theory

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

Examining methods to alter graphs into equal-sized cliques.

This study examines methods to minimize crossings in ordered graphs using efficient algorithms.

Explore the role of essential vertices in solving graph-related optimization problems.

A look at crossing numbers and their implications in graph theory.

A new method improves link prediction by addressing noisy and incomplete data.

Introducing TrainlessGNN for faster node labeling in TAGs without traditional training methods.

A new method enhances memory replay for graph learning while ensuring privacy.

This study highlights the role of diversity in evolutionary algorithms for matching problems.

Exploring the connections between algebras and quivers in modern mathematics.

Research unveils faster approximation algorithms for subset convolution and NP-hard problems.

A new approach improves graph filter performance across various data types.

An overview of generalized Bratteli diagrams and their significance in dynamical systems.

A look at how to maintain strong connectivity in directed graphs through partitioning.

A look at GLDGCN's role in improving node classification.

This article examines the link between Dyck paths and integer compositions in mathematics.

A new method to identify meaningful patterns in complex data graphs.

Introducing a new method for efficient routing in length-constrained graphs.

A study on Temperley-Lieb crystals and their significance in algebra and geometry.

An overview of random walks and dynamic random permutations in mathematical systems.

A look at Collet-Eckmann polynomials and their impact on Julia sets.

Exploring lattice paths and the proof of Cigler's Conjecture.

A look into how fire spreads across networks and its significance in social dynamics.

Exploring the efficient application of finite automata in recognizing graph patterns.

A look into how graphs represent relationships and their real-world applications.

Exploring how LLMs enhance graph data analysis and applications.

A look into how hypergraphs can model complex relationships in various systems.

A guide to balancing multiple relationships through effective meeting schedules.

GLAD enhances graph generation through a discrete latent space and diffusion bridges.

FROND utilizes fractional calculus to enhance Graph Neural Networks for complex data.

Improving methods to estimate long-term infection rates in social networks.

Exploring partial alternating sign matrices and their connections to other mathematical structures.

Analyzing strong connectivity in directed graphs reveals insights into complex systems.

A look into Kronecker quivers and the significance of their representations.

A new method improves action recognition from skeleton data using advanced pooling techniques.

This study explores key properties of directed graphs without triangles.

An overview of significant issues in network design, focusing on shortest paths and cost management.

A look into circular-arc graphs and their significance in graph theory.

This paper introduces FairGI, a framework for fairness in graph neural networks.

Explore the relationship between parking functions and their statistical properties.