Latest Articles for Graph Theory

A look at skew braces and their common divisor graphs.

A look into pancyclic graphs and their significance in graph theory.

New methods for faster solutions to TSP and MST problems.

Exploring strategies for saving vertices in distance-restricted firefighting scenarios.

A look into matroid lifts and their applications in various mathematical fields.

New algorithms ensure stable results in combinatorial optimization problems.

A look into small automorphisms and edge colorings in graph theory.

Learn how to manage changes in planar graphs effectively.

Examining the role of flip-width in the complexity of geometric graphs.

New methods create varied datasets for better evaluation of Graph Neural Networks.

A new method improves model training by addressing complexity in graph learning.

Introducing a new method for efficient and high-quality graph generation.

A look into maximum matchings in graphs and their significance across various fields.

A deep dive into tackling the BMWIS problem in bipartite and perfect graphs.

A look into how graph partitioning aids in data analysis and clustering.

Strategies to quickly inform communities through network connections.

A look at visualizing graphs on complex surfaces, focusing on the Klein bottle.

Study reveals how spins behave on specific graph structures over time.

Exploring how to cover geometric graphs with star-forests efficiently.

Explore new algorithms for efficiently solving the APSP problem in graphs.

Exploring edge limits in planar graphs without forming specific cycles.

FLAG improves estimation of precision matrices in complex systems without strict assumptions.

A new module improves graph structure learning in GNNs for better results.

Discover the relationships and structures within reduced power graphs of groups.

Exploring the significance of even and odd partitions in mathematics.

A closer look at graph coloring without specific patterns.

A look into detection and recovery in complex networks.

This research focuses on efficient algorithms for dynamic graphs, enhancing connectivity and bipartiteness analysis.

Explore how predictions improve dynamic graph algorithms for efficient updates.

Examining the complexities of defensive alliances in different types of graphs.

Explore the connections and implications of snake graphs in various mathematical domains.

A new algorithm offers reliable dimension estimates for networks.

This article explores how shapes and patterns connect in mathematical percolation models.

Exploring the links between parking functions, weak orders, and their mathematical significance.

A look into the complexities of edge coloring with even color requirements.

A new approach enhances knowledge graphs by incorporating causal reasoning.

New layer improves molecule behavior predictions in drug development.

An overview of reachability categories and their significance in algebra and topology.

An overview of GNNs, their features, and training dynamics.

A new approach to maintain fairness in machine learning clustering algorithms.