Latest Articles for Graph Theory

A new model enhances node classification by leveraging related knowledge.

Discover the fascinating world of posets and their real-world applications.

A novel method uses random walks for efficient graph clustering.

A new method improves memory access for dynamic graph applications, boosting performance and efficiency.

A look into the structure and properties of hypergraph algebras.

A deep dive into toric ideals and their relation to graph structures.

A study on Steiner cuts and their applications in dynamic graph changes.

New methods improve model learning using effective negative samples in graph data.

ERIC offers an efficient way to measure graph similarities with improved accuracy.

This work enhances privacy in graph diffusion while maintaining data utility.

A study examines how well LLMs reason with graph data.

A look into maximal cliques and minimal transversals in graphs.

Explore the nature and significance of automatic sequences in mathematics.

This study investigates stable configurations in outer-totalistic cellular automata on random regular graphs.

A new dataset assesses LLM performance in solving graph-related challenges.

Learn about drags and their rewriting process in graphs.

This study investigates the rigidity of eigenvalues in random regular graphs amidst structural changes.

Exploring new methods in graph learning without labeled data.

A new method to efficiently map changing graphs while maintaining distance accuracy.

A novel framework enhances graph matching without labeled data.

A new framework assesses graph condensation methods for improved machine learning efficiency.

A groundbreaking model handles dynamic graphs while boosting performance and reducing training time.

Explore how chromatic numbers behave in dense random graphs and their implications.

A new technique enhances graph neural networks performance on large datasets.

Examining sparse outerstring graphs reveals efficient solutions for complex problems.

Explore how degree sequences affect random graph characteristics.

A look into Ramsey numbers, hypergraphs, and coloring in combinatorics.

This study examines the presence of clique subdivisions within various graph structures.

A new approach to solve the Maximum Independent Set problem without training data.

Explore the intricacies of reachability in temporal graphs and their unique challenges.

Learn about planar graphs and their significance in various fields.

Researchers enhance GNNs for better understanding of complex graph structures.

Exploring the crossing number problem in graphs and its real-world applications.

A look into triangle-free triple systems and their properties in combinatorial mathematics.

An exploration of how paths connect through systematic flips.

This research focuses on finding even-length paths in directed graphs and their applications.

This article examines the challenges in finding specific subgraphs in graph theory.

A new framework that enhances MLP performance in graph classification using GNN knowledge.

New methods aim to simplify the Steiner Tree problem for various applications.

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