Latest Articles for Graph Theory

Higher-order GNNs improve learning from complex graph data using P-tensors.

Analyzing the spectral properties of graphs reveals key insights about their connections and behaviors.

A look into distance magic graphs and their unique labeling properties.

A look into colored mixed graphs and their relationships.

A study on the significance and challenges of resonance graphs in specific graph types.

A new method streamlines degree reduction in symmetric polynomials for graph coloring.

Exploring matroid connectivity and its implications for quantum computing.

Learn how to improve graph neural network training and avoid common pitfalls.

An overview of strongly regular graphs and their interplay with divisible design graphs.

A new framework enhances learning from complex hypergraphs.

A look into Ramsey numbers and their significance in graph theory.

Explore the complex dynamics of signed graphs through the chip-firing game.

Exploring the existence and properties of zero-sum cycles in directed graphs.

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

An overview of graph connectivity and the edge-Erdős-Pósa property.

Explore the strategic game of cops and robbers played on graphs.

Exploring locally irregular graphs and their implications across various fields.

A look at how random methods affect communication in graphs and matrices.

New approach improves GNN performance on complex data relationships.

A new method to clarify how GNNs make predictions through modal logic.

This study examines conditions for embedding k-factors in k-partite hypergraphs.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

This paper examines how convex analysis relates to discrete objects in graphs and games.

Phase binarized oscillators show potential for solving optimization problems faster than quantum methods.

Exploring the characteristics and significance of -dicritical digraphs in graph theory.

GPSE improves graph model performance through enhanced encodings and knowledge transfer.

Analyzing the complexities of disease transmission in social networks through graphs.

An overview of chainmail links and their significance in mathematics.

Discover the relationships among ordinary elliptic curves through isogeny graphs.

Examining how differential privacy impacts graph neural networks in medical applications.

This article examines defective coloring and choosability in graph theory.

A method to ensure graph transformations stop correctly using weighted type graphs.

Analyzing the similarities and differences of labeled graphs using longest common subsequence.

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

A new method for visualizing overlapping clusters in bipartite graphs for better insights.

Exploring strategies for effective online decision-making and managing costs.

This work focuses on improving reachability in directed planar graphs, considering network failures.

Research reveals complexity in matroid optimization problems with linear constraints.

This research examines optimal mixing time for independent sets using Glauber dynamics.

A look at skew braces and their common divisor graphs.