Latest Articles for Graph Theory

A method to improve graph transformers efficiently and with less resource use.

New tools are improving the analysis of large property graphs.

A look into sofic entropy and local limits in mathematical systems.

A look into cospectral graphs and their significance in mathematics and various fields.

This study examines graph decompositions and their applications in various fields.

FedGKD enhances federated learning for Graph Neural Networks by optimizing task feature extraction.

Exploring uniquely distinguishing colorable graphs and their real-world applications.

A deep dive into Markoff mod-p graphs and their implications in number theory.

A new method improves image segmentation and object detection using self-supervised learning.

This article reviews findings on edge ideals and their connection to -numbers.

A look into random embeddings and their impact on hypergraphs.

COLA merges contrastive and meta learning for improved node classification in limited data scenarios.

Explore boxicity, circular clique graphs, and zero-divisor graphs in graph theory.

A study on how blow-up graphs improve quantum state transfer processes.

A look at the limits of edges in planar graphs without specific subgraphs.

This article explores secluded subgraphs and their significance in graph theory.

Research reveals complexities in polytopes and sparse groups, challenging previous assumptions.

Explore the fundamentals and uses of bipartite distance-regularized graphs.

A look into the structure and properties of doodles formed by circles.

This article presents a fresh perspective on hyperplane arrangements and their stability.

A look into how different topologies relate within endomorphism monoids.

Researching structures that connect points in infinite graphs with unique properties.

Exploring a classical algorithm for optimizing graph problems.

Explore the game dynamics of Cops and Robbers on graph structures.

Explore interval and multiple interval graphs and their significance in various fields.

A look into how connectivity changes in networks through percolation theory.

A new model enhances how networks gain connections over time.

This study showcases the effectiveness of GNNs in analyzing stiffened panels.

This study examines how to efficiently approximate query evaluations in probabilistic graphs.

Explore bipartite graphs, eigenvalues, and their role in coding theory.

Discover new methods enhancing graph learning through labeled and unlabeled data.

Exploring the significance of optimal leaf roots in evolutionary biology.

A method for efficiently identifying maximal clique-partitions in graphs.

This study explores the relationship between graphs, crossings, and signed permutations.

The study explores how different distributions affect quantum walk behaviors.

This article simplifies a classic algorithm for tree isomorphism using prime numbers.

An overview of Neumaier Cayley graphs and their significance in mathematics.

New model enhances graph data analysis by preserving topological features.

New algorithms enhance efficiency in solving the Submodular Cover Problem.

Exploring the importance of sparsification in graph analysis and its applications.