Latest Articles for Graphs

Learn how graph sparsification simplifies structures while retaining key characteristics.

Innovative algorithms offer faster solutions for finding paths in undirected graphs.

A look into colored mixed graphs and their relationships.

This paper presents a novel model for analyzing event data on graph structures.

Examination of edge-Erdős-Pósa property in complex subcubic graphs.

Curiosity-driven methods improve exploration strategies in artificial intelligence.

New metrics enhance the evaluation of patient data graphs for better health predictions.

An overview of chainmail links and their significance in mathematics.

A look into the fundamentals and applications of graph theory.

Research links Turán's theorem with efficient algorithms for finding cliques in graphs.

New algorithms ensure stable results in combinatorial optimization problems.

Exploring edge limits in planar graphs without forming specific cycles.

A closer look at graph coloring without specific patterns.

Examining the complexities of defensive alliances in different types of graphs.

A new method enhances unsupervised graph learning through entropy estimation and subset sampling.

A novel approach to reconstructing 3D scenes from single images in robotics.

Exploring the balance of graph colorings and their implications in mathematics.

New methods enhance understanding of complex graph classifications through counterfactuals.

This study focuses on identifying paths in networks of disks.

Exploring the complexities of clustering in changing graphs.

Exploring how vertices work together in graph structures.

Explore edge-coloring and its practical applications in diverse fields.

An exploration of the interplay between random graphs and their associated algebras.

A look into the Biclique-Free Vertex Deletion problem and its implications.

Exploring efficient methods for connecting nodes across networks with Universal Steiner Trees.

Exploring efficient methods to tackle complex graph challenges in real-time settings.

Understanding how shapes affect motif recognition in complex graphs.

SciGraphQA provides a rich dataset for understanding scientific graphs through question-answering.

Discover methods for efficient testing of graph properties.

Chrisimos changes mining by solving real-world problems instead of wasting energy.

A new method improves backdoor detection in graph data using explanation techniques.

Exploring connections between unit graphs and efficient data transmission.

Introducing a method to improve node clustering in complex networks.

A look into the relative fractional independence number and its significance in graph analysis.

Learn how agents explore unknown graphs while minimizing travel costs.

A look into minimizing transportation costs using graph theory.

A look at modularity and its role in understanding community structures in networks.

Explore the connection between RAAGs and graph properties.

Exploring how Gaussian Boson Sampling improves clustering techniques.

Research shows how storage codes improve data recovery in cloud systems.