Latest Articles for Graph Theory

Innovative methods to retrieve time labels from noisy dynamical data.

A look into minimal transversals and their significance in hypergraphs.

New methods improve connectivity analysis for various embedded graphs.

A study on the resilience of Graph Transformers against adversarial attacks.

A look into the innovations of Many-body MPNNs for analyzing complex network data.

Explore key graph types and their properties in mathematics and computer science.

TxGraffiti aids math research by generating conjectures in graph theory.

Graphitron simplifies FPGA-based graph processing with a user-friendly programming language.

Explore how the stochastic block model helps identify communities in networks.

An analysis of power and resolving power domination in fractal cubic networks.

A new approach enhances graph neural networks using large language models.

Exploring the significance and applications of leaf powers in graph theory.

A deep dive into graceful coloring and its significance in graph theory.

This article presents the GLCT method for analyzing and processing graph signals.

This paper examines how a vehicle can intercept intruders in a tree structure.

An exploration of matchings in random graphs and their implications.

A look into the relationships in rings through extended zero-divisor graphs.

An overview of essential ideal graphs, their properties, and applications.

Understanding matroids, their types, and challenges in intersection problems.

A look at spanning trees and perfect matchings in graph theory.

A look at equationally Noetherian structures and their significance in mathematics.

Research highlights complexities and algorithms related to the MMDS problem in graph theory.

This study analyzes the chromatic numbers of four-dimensional lattices through Voronoi graphs.

A look at how DGGs improve understanding of dynamic interactions in systems.

Learn how reactive graphs adapt in response to user interactions.

Explore the concepts of matroids and sandpile groups in mathematics.

Explore the interesting features and applications of gentle algebras in mathematics.

New framework improves knowledge distillation by focusing on hard samples.

A look into simplicial sets, bicolored graphs, and fuzzy sets.

Learn how to switch independent transversals in graphs through small changes.

LSM-GNN enhances multi-GPU training for large-scale graph neural networks.

An in-depth look at the challenges in P3-arrowing within graph theory.

A look into the properties and importance of matching covered graphs.

A new method for analyzing complex relationships in different structures.

Exploring the relationship between graph coloring and symmetric functions.

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.