Latest Articles for Graph Theory

A fresh approach to connect terminal nodes efficiently in directed rooted networks.

Examining conditions for Hamilton paths and cycles in various graph collections.

A look into the relationships between models in mathematical logic.

A new model enhances graph generation using advanced diffusion techniques.

Hypergraphs reveal complex relationships among items beyond traditional graphs.

Explore the links between root polytopes and quivers in mathematical studies.

A look into independent sets and their significance in graph theory.

An overview of lattices, commensurability, and their significant properties in mathematics.

This article discusses the challenges and solutions in Graph Neural Networks.

A look at disk graphs and their role in complex networks.

New algorithm improves bipartization solutions in disk graphs.

Examining how infections traverse through high-dimensional geometric graphs.

EQuAD improves model performance on graphs facing changing data distributions.

Exploring geometric properties of Right-Angled Coxeter Groups through finite-state machines.

Learn about graph transformers and their applications in various fields.

Discover how Routing-by-Memory enhances MLP performance in graph neural networks.

A look into mixed multigraphs and their role in graph theory.

Exploring how vertices in graphs can be grouped through domatic partitions.

Learn about pinnacle sets and their significance in graph theory.

An examination of location-domination in subcubic graphs and its conjectures.

A deep dive into the intricate world of Grassmannian optimization.

Examining vertex cuts and their applications in graph theory and matroid structures.

A look into higher-rank graphs and their significance in mathematics.

Exploring pretzel links and their braid indices for deeper insights.

A look into dg-algebras, their structures, and significance in mathematics.

A novel benchmark to evaluate graph learning methods tackling heterophily and heterogeneity.

Learn how vertex sparsification improves graph analysis and application.

Exploring the potential of quantum algorithms for complex optimization tasks.

An overview of matroids and their significance in mathematics.

Examining the challenges and solutions in data completion through graph theory.

A novel method enhances GNN performance with noisy data.

Explore the concept of boundedness and its implications in hypergraph theory.

A new model enhances inductive reasoning in knowledge graphs by using multiple starting entities.

Exploring star-critical Ramsey numbers and their implications in graph coloring.

Combining snapshot and event-based models to improve temporal graph analysis.

Innovative methods to retrieve time labels from noisy dynamical data.

A look into minimal transversals and their significance in hypergraphs.

New methods improve connectivity analysis for various embedded graphs.

A study on the resilience of Graph Transformers against adversarial attacks.

A look into the innovations of Many-body MPNNs for analyzing complex network data.