Latest Articles for Graph Theory

A new solver enhances solution speed and quality for combinatorial optimization tasks.

Examining how random walks impact solutions in constraint satisfaction problems.

Introducing a simple inverse power method for solving balanced cut problems efficiently.

Energy GNNs improve communication and adaptation in multi-agent systems.

A new approach using knowledge enhances efficiency in learning from relational graphs.

Explore graph properties, coloring challenges, and their impact on various fields.

GraphArena evaluates LLM performance on graph problems using real-world data.

A look at nonparametric regression methods using geometric graphs and Bayesian approaches.

Commute Graph Neural Networks improve understanding of directed graphs through enhanced relationship insights.

This article explores the link between resonance graphs and daisy cubes.

HIGHT enhances language models by using hierarchical information from graph data.

A new approach to enhancing Graph Neural Networks through complex vertex representation.

A look into the dimer arrangements and their applications in various fields.

A new framework improves graph classification by focusing on core features.

Exploring the impact of weak random walks on network analysis.

Examining the minimum colors needed for rainbow cycles in graphs.

Examining the complexity of graph orientation and its relation to tournaments.

A look into graphs, their structures, and the implications for data analysis.

Exploring the relationship between chambers and independent sets in geometry using Kneser graphs.

Researchers enhance graph understanding through learned distances and node features.

This article explores geodetic Cayley graphs related to finite groups and their properties.

Exploring Hamilton paths and their existence in cube hypergraphs.

Exploring methods to efficiently color 3-colorable graphs in computer science.

Exploring differential encoding and its impact on graph learning models.

This article examines chambers, vector spaces, and the Erdős-Ko-Rado problem in combinatorics.

Explore the importance of connectivity thresholds in random geometric graphs.

Discover the new ibaf-graph feature for dynamic system visualization.

Exploring backdoor attacks and graph reduction methods in GNNs.

A method to mathematically represent plane graphs for simulations.

A new method enhances node classification using limited labeled data.

Explore the fundamentals and applications of graph theory and cut complexes.

New framework improves detection of unusual patterns in graphs.

A look into the behaviors of dimers on unique hyperbolic structures.

A study on sparse sets within triangle-free graphs and their properties.

This study explores the unique arrangements of particles under random conditions.

A detailed look at dicyclic groups and their generating graphs.

This article discusses fitting bounded degree trees into complex sparse expanding graphs.

This article explores solutions to oversmoothing in graph neural networks, focusing on GCNs.

Submodular functions guide efficient decision-making in optimization problems.

An overview of QAOA's effectiveness on MaxCut and Maximum Independent Set problems.