Latest Articles for Graph Theory

A study on the drawing and properties of abstract topological graphs.

This article examines the links between two weighted random graphs and their dependencies.

Learn how SMPNNs manage complex data connections effectively.

Analyzing network growth and structure variations through the Asymmetric BA model.

This study examines the Minimal Feedback Arc Set problem in random directed graphs.

Exploring the dynamics of Cops and Robbers on graphs and its implications.

This article explores edge-bicolored graphs and their significance in mathematics and physics.

A look into the properties and membership problems of Artin groups.

A look into how graph geometry affects the Ising model's behavior.

A study linking distinguishing index and Mycielskian graphs in symmetry.

Explore the link between quadratic polynomials and directed graphs through preperiodic points.

A look into Eulerian graphs and their significance in various fields.

A look at how connections in graphs can be structured and optimized.

This paper presents a graph-based method for comparing two data distributions.

A look into the properties and classifications of bipartite and theta graphs.

A novel autoencoder improves graph representation learning across diverse applications.

A look into graph states and their role in quantum information.

A deep dive into canonical labeling and its significance in random graph theory.

This article examines how edge changes in directed graphs affect associated shapes.

Innovative graph designs enhance robot communication and resilience.

This research reveals a new aggregation method for improving GNN performance.

MEG-sets help monitor network reliability by tracking edge status in graphs.

Learn how new methods reduce memory usage in community detection algorithms.

New methods shed light on GNNs and their properties.

A look into graph theory and its transformations.

A look into strategies for building hypergraphs through a unique game process.

Learn how FedGPL helps organizations collaborate while protecting their data privacy.

Exploring unique challenges in counting within random versus deterministic dynamical systems.

Explore the playful world of permutations and grid transformations.

TxGraffiti aids mathematicians in generating and validating conjectures using data-driven methods.

A look at the pulsation in quantum walks and its implications for search algorithms.

DA-MoE adapts GNNs for varying graph sizes, improving performance across diverse tasks.

Explore the role of Feedback Vertex Sets in tournaments and their significance.

A graph-based approach to enhance machine learning in dynamic environments.

Explore the connections and structures of trees in math and their real-world applications.

Tree graphs reveal connections and stability in structures, impacting science and medicine.

Explore the significance of integral Cayley graphs in mathematics.

Learn how Laplacian matrices reveal insights about friendships and social dynamics.

Explore the structure and significance of ordinal graphs in mathematics.

Learn how De Bruijn graphs connect strings in unique ways.