Latest Articles for Graph Theory

Exploring the importance of sparsification in graph analysis and its applications.

Exploring how colored balls change within urns on graphs over time.

A deep dive into double twist knots and their mathematical properties.

Learn how Trifactorization simplifies complex matrix analysis across various fields.

An overview of perfect tiling problems and their conditions in hypergraphs.

Graph-JEPA offers a new method for analyzing complex graph data effectively.

This study examines the complexity of reconstructing monotone trees from density graphs.

This method enhances predictions by combining labeled and unlabeled data through latent graphs.

New methods improve analysis of temporal graphs across various fields.

Exploring intrinsic metrics and their significance in understanding graph structures.

SANGEA offers a scalable approach to create high-quality synthetic graphs.

A look at new approaches for solving the Dominating Set problem in graphs.

New methods improve efficiency in computing matrix permanents and Hamiltonian cycles in graphs.

New measures provide insights into directed graphs in biological systems.

An overview of finding the shortest paths in graph theory with a focus on odd paths.

This article discusses simplifying path problems in chordal graphs.

This article explores the properties and importance of cubic graphs with a defect of 3.

Explore the relationship between combinatorial maps and critical groups in graph theory.

A new algorithm ensures exact shortest paths in changing networks.

A new framework for generating clear embeddings from unlabelled graph data.

This article examines methods for creating hypergraphs with specific degree sequences.

Exploring a new way to tackle the classic three jug puzzle using graph theory.

A new evaluation method enhances understanding of GNN predictions.

This article explores properties and construction methods of shift graphs.

A look at Halin's theorems and their significance in graph theory.

New methods enhance graph neural network efficiency with minimal performance loss.

A new approach to solve MWIS efficiently in specific graph types.

A study on giant rainbow trees and their properties in sparse random graphs.

A look into the significance and study of non-ordinary curves.

Assessing LLMs' abilities with Turtle syntax in knowledge graph tasks.

This approach improves GNN performance by identifying relevant meta-paths in complex networks.

Examining positional strategies and objectives in infinite games.

A closer look at independent transversals and graph coloring techniques.

Explore the concept of twin-width and its relation to tree-decomposition in graphs.

Introducing a method to identify relationships in complex systems using graphical models.

Exploring QAOA's application to the Hamiltonian Cycle problem using quantum computing techniques.

Learn how mutual visibility in graphs impacts communication and coordination in robotics.

Explore Kneser graphs, dominating sets, and their significance in various fields.

Exploring the structure and properties of strictly Neumaier graphs.

GraphGPT processes graphs efficiently, outpacing traditional models in various applications.