Latest Articles for Graph Theory

Efficient qubit management is key to advancing quantum computing technology.

An overview of graph colouring concepts, particularly focusing on Kneser graphs and Stahl's conjecture.

A new framework enhances link polarity predictions in signed networks.

Explore how the closed neighborhood corona product shapes graph relationships and properties.

An overview of twin-width, feedback edges, and vertex integrity in graph theory.

New framework enhances node categorization in text-attributed graphs with limited data.

A novel method enhances discovery of dense areas in complex graphs.

GraphTP enhances graph learning through improved data strategies.

A new model improves graph processing by addressing key GNN challenges.

New methods enhance the search for k-defective cliques in complex networks.

A look into the flexibility and applications of -chromatic symmetric functions.

A look into the properties and applications of tRAAGs in group theory.

A new method streamlines the detection of commutative factors in factor graphs.

Discover how graph recommender systems and contrastive learning enhance personalized suggestions.

A new approach improves GNN reasoning capabilities for complex relationship tasks.

Researchers use Tree Tensor Networks for efficient quantum system simulations.

This article discusses predicting stability numbers in graphs using convolutional neural networks.

Explore how transit functions reveal relationships in directed graphs and networks.

Explore how binary LCD codes relate to graph theory in information technology.

CoCN enhances graph representation learning through innovative message-passing techniques.

A study on graph reconstruction using connected subsets and structural information.

A look at matching polytopes, Gorenstein types, and their integer properties.

Exploring the complexities and applications of hypergraphs in mathematics.

An overview of the properties and implications of Associated Mersenne graphs.

An overview of graph isomorphism, resolution methods, and their complexities.

A novel approach to recognize categories in unlabeled data while preserving old classifications.

Analyzing factored graphs helps manage complexity in large graph structures.

Flex-GCN improves accuracy in estimating 3D human poses using advanced graph methods.

Exploring the unique characteristics and challenges of snarks in graph theory.

Exploring the role of error-correcting codes in reliable communication systems.

QuOp method enhances graph embeddings using quantum operators for better data analysis.

Examining how edge weights influence matchings in rail-yard graphs with links to random matrices.

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.