Latest Articles for Graph Theory

This article explores methods to identify groupings in hypergraphs with high girth.

A new method for efficiently breaking down 4-connected graphs.

A look into directed graphs and methods to simplify cycle identification.

A look into the colorful versions of classic graph problems.

This article uncovers links between Laplacians of trees and peaks in Dyck paths.

Explore the structure and significance of bipartite graphs and their mathematical tools.

An exploration of locked polyomino tilings and their significance in grid structures.

New methods improve Edge Triangle Packing and Covering in graph theory.

Explore how thermodynamics principles can enhance geometric deep learning models.

Learn how centrality measures help reveal the importance of nodes in networks.

New approach to visualize graphs improves clarity while addressing eye strain.

Positioning guards effectively for emergency response in city layouts.

Exploring antimagic labeling techniques in trees and forests for unique vertex sums.

Exploring the complexities of upward and rectilinear planarity testing in graphs.

This article explores methods for faster keyword searches in graphs.

A new model improves performance by utilizing diverse data types in knowledge graphs.

Introducing a novel algorithm to optimize sports tournament scheduling.

This study reveals how freezing impacts tree growth and structure.

A new method for training GNNs efficiently one layer at a time.

This study evaluates advanced GNNs for generating molecular graphs more effectively.

Explore the connection between directed graphs and 2-step nilpotent Lie algebras.

Exploring the Fréchet distance and its impact on paths and graphs.

Research reveals new bounds for signed double Roman domination in cubic graphs.

A study on breaking Eulerian graphs into manageable circuits.

A study on max-cut problem formulations and continuous relaxation effectiveness.

A new method for improving the clarity of hive plots in data representation.

Investigating the complexities of edge coloring in circle graphs.

A look into symmetric strategy improvement and its challenges in directed graph games.

Exploring RDGSL's innovative approach to reducing noise in dynamic graphs.

A new approach improves dynamic graph modeling for better predictions.

A new approach balances privacy and performance in GNN training.

New methods improve knowledge graph embeddings using literal information.

A look into graph partitioning and the complexities of dominance relations.

Discover how Celtic knots can represent complex graphs creatively.

Exploring the mechanics and capabilities of graph-controlled insertion-deletion systems in computation.

A novel approach improves graph representation learning using non-Euclidean spaces.

This paper examines the size of independent dominating sets in planar triangulations.

Examining how GNNs can improve by modifying irrelevant graph structures.

Leveraging LLMs to make graph data analysis accessible for everyone.

Explore Hamming graphs and their significance in math and research.