Latest Articles for Graph Theory

Exploring the properties and applications of bounded lecture-hall tableaux in combinatorics.

A method for finding the shortest path while considering road faults.

A new approach for secure anomaly detection in graph data.

A look into trace and spectral norms of matrices with zero diagonals.

A novel method to find maximal -plexes efficiently in large datasets.

Explore how mixing time applies to changing Markov chains and random walks.

A novel method for measuring curvature enhances analysis of graphs and quantum systems.

A study on the utility of vanilla spectral algorithms within the Stochastic Block Model.

An overview of approximating triangles in graphs within distributed networks.

A new method improves graph continual learning by enhancing diversity in replay buffers.

A look into the relationships of curves on surfaces through fine 1-curve graphs.

Analyzing how 2-complexes fit into three-dimensional space without overlap.

Research explores transferring parameters for faster quantum optimization solutions.

A new model enhances neural networks using graph structures for improved performance.

A look at how Graph Parsing Networks enhance graph data analysis.

SPMiner uses machine learning for efficient subgraph pattern detection in complex networks.

A look into trees, k-trees, and their substructures.

Curvature reveals insights into graph behavior and structures.

Exploring the complexities of maintaining community features while reducing network size.

A deep dive into hypergraph structures and their ranking via spectral moments.

Examining the complexities of connecting points in a graph without overlapping paths.

A new method enhances learning from graph data by addressing node relationships.

A look into the unique properties of vertex-primitive digraphs and their significance.

New bounds for GNNs enhance performance against adversarial attacks.

A new method to study evolving graphs and relationships over time.

An overview of key problems in metric graphs and their significance.

This study analyzes the significance of the spectral gap in Erdős-Rényi graphs.

A study of fixed point arrangements on circles and their applications.

Research focuses on improving parameter settings for the Quantum Approximate Optimization Algorithm.

Research reveals how infections spread in dynamic random graphs.

This article discusses the use of subspace graphs in quantum walks.

Distributional Edge Layouts improve GNN performance by sampling diverse graph structures.

A new approach to enhance predictions in temporal graph learning.

This article discusses distribution shifts and challenges in graph learning.

Explore how directed graphs can be colored without creating cycles.

Exploring local differential privacy methods for secure graph analysis.

A look at the role of Turan and Ramsey numbers in hypergraphs.

A study on the behavior of marked graphs and their local structures.

GraphMatch offers a faster way to find matching subgraphs using FPGAs.

A study on methods to cover points with geometric shapes efficiently.