Latest Articles for Graph Theory

A look into techniques for counting regular graphs and their applications.

A look into graph theory and the properties of triangle counts.

A study on the importance of central nodes in network systems.

Explore the significance of planar graphs and their edge limits.

Exploring how graphs and hypergraphs reveal relationships in different fields.

Explore the significance of hypergraphs in mathematics and their applications.

Discover the N-Queens puzzle and its significance in mathematics and computer science.

This article discusses structures in graphs and introduces relative centrality for better analysis.

Study reveals methods for stable assignments in agent placement scenarios.

This article discusses the significance of crossing numbers and ratios in graph theory.

Learn about approximators for traffic flow in large graphs.

Exploring the connections between graph structures and various mathematical concepts.

Exploring knotoids and linkoids through the mock Alexander polynomial.

A look into quasirandomness and its role in graph representations.

Explore methods to count lattice paths across boundaries and their flaws.

A novel approach to clustering using multi-view stochastic block models.

Study the independence number behavior in random Cayley graphs as generating sets change.

An overview of fractionally Calabi-Yau lattices and their mathematical significance.

A look into semigroups, projections, and their applications in algebra.

An in-depth look at cycle matroids and their relationship with graphings in mathematics.

Discover key concepts of odd edge-colorings and coverings in graph theory.

A look into the structure and properties of random geometric graphs.

Introducing MaxCut-Bench for consistent algorithm assessment in optimization challenges.

New algorithms improve understanding of variable relationships in causal discovery.

GRASS improves graph neural networks with innovative rewiring and attention mechanisms.

Explore the complex relationships in signed projective cubes and their impact on mathematics.

A look into the challenges and innovations in graph domain adaptation methods.

Discover efficient methods for the minimax path problem in weighted graphs.

Explore the complexities of counting induced subgraphs in various graph properties.

This study presents an innovative edge sampling technique leveraging graph signal processing.

This article examines the link between GHZ states and graph theory.

Examining the role of triangles in graph structures and their implications.

This study reveals how non-adversarial attacks impact knowledge graph embedding algorithms.

Exploring the patterns within locally dense graphs and their implications.

A concise overview of polytopes, their graphs, and symmetries.

Researchers link spatial search, state transfer, and sampling in quantum computing.

Introducing Coupled Covariances Eigenproblem (CCE) for improved learning from asymmetric data.

Integrating causal knowledge improves Graph Neural Networks performance in diverse tasks.

This article explores methods for explaining node similarities in graph data.

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