Latest Articles for Graph Theory

Exploring pathfinding efficiencies in regular sunflower graphs using quantum computing.

Understanding smooth manifolds through triangulations and their properties in topology.

This article explains dendroidal sets and the right cancellation property in mathematics.

Explore the significance and properties of degree-similar graphs in various applications.

Explore the unique properties and structures of projective rectangles and their graphs.

xAI-Drop leverages explainability to improve Graph Neural Networks' performance and clarity.

An exploration of how matrices and eigenvalues relate on various surfaces.

Study of connected groups in random geometric graphs reveals key insights.

A new method enhances learning from graphs despite data noise.

A deep dive into silting objects and their role in algebraic systems.

Exploring the complexities of Neighborhood Balanced Coloring and its NP-completeness.

A new method enhances efficiency in max-plus algebra calculations.

New HOBO solver addresses higher-order optimization in quantum computing.

A study on families of intersecting subgraphs and their limits.

A look into strategies and complexities of the digraph placement game.

This study introduces a new method for positional encodings in directed graphs.

Introducing CNES for efficient link prediction in changing networks.

Research focuses on optimizing photonic graph states for quantum technologies.

Exploring how properties of random graphs affect their structure and connectivity.

A study on the properties and classifications of tetravalent independent-cycle type graphs.

New method enhances Graph Neural Network training efficiency and accuracy.

Examine advanced methods for finding shortest paths in Monge directed acyclic graphs.

RUM neural networks leverage random walks and memory for enhanced graph processing.

An examination of theories that lack the existence axiom and their implications.

Exploring methods and algorithms for finding paths in weighted graphs.

A new method for detecting anomalies in temporal knowledge graphs.

Exploring the relationship between quasi-transitive graphs and planar Cayley graphs.

Exploring new connections between biwords and Monge matrices through visual tools.

A look at systoles and their calculation on combinatorial surfaces.

Learn the parallel methods for verifying and analyzing minimum spanning trees.

CGRL tackles challenges in GNNs, improving classification despite popularity bias and noise.

A new method enhances graph clustering accuracy and efficiency.

A new method uses graph neural networks to improve graph coloring efficiency.

Discover how Graph Convolutional Networks analyze complex data in various fields.

Exploring the link between derangement graphs and orthogonal Latin squares.

This article discusses the importance of regular grammars in graph structures.

An exploration of chip-firing games in directed and undirected graphs.

A look into the distribution and importance of polynomial zeros.

A look at how Graph Neural Networks operate and their significance.

Explore game strategies and graph variations in Dots and Boxes.