Latest Articles for Graph Theory

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

Explore the relationship between parking functions and their statistical properties.

An overview of how directed graphs and algebras are connected in mathematics.

A look at the capabilities and analysis of Graph Neural Networks in various fields.

This study explores methods to enhance road connectivity and reduce travel distances.

TG-ODE framework improves analysis of complex systems with irregular data.

Investigating edge limits in hypergraphs while avoiding specific configurations.

This study examines the challenges of finding path covers in dynamic graph structures.

Exploring domination sets in different types of graphs and their complexities.

An overview of degree-boundedness and its impact on graph structures.

A look into how records and trees shape random processes.

A look into generating combinations using mathematical concepts and structures.

A study of Cayley graphs from finite commutative rings reveals key algebraic properties.

A new approach for clearer GNN predictions using edge-focused subgraph explanations.

A study on dividing sparse graphs into two trees under specific rules.

Explore key concepts in graph theory and their practical applications.

A study of how particles spread over time on complete graphs.

Discover a new method for efficient neural architecture search through graph-based evaluations.

CoBFormer balances local and global attention for improved graph processing.

New methods reduce communication rounds in solving All-Pairs Shortest Paths in graphs.

A new model redefines graph analysis using point sets for improved predictions.

Exploring methods for tiling unique hexagonal shapes using two types of tiles.

A look into how minimum vertex cuts can enhance network design.

Exploring the absence of generic chains in important topological spaces.

A new system improves efficiency in analyzing graph data patterns.

Exploring methods for verifying graph properties through distributed computing.

A new approach to understanding graph structures from node signals.

A guide to degree sequences and outerplanar graphs.

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.