Latest Articles for Graph Theory

A new approach to enhance network traffic analysis through graph-based models.

Exploring quantum adaptations of Vertex Cover and their implications in computing.

Explore the concept of domination in graphs and its real-world applications.

HetSheaf improves data representation in heterogeneous graphs for better model performance.

This research simplifies learning directed acyclic graphs from data using convex optimization.

Exploring pathways in directed hypercubes for efficient data transfer.

Explore the intersection of graph theory and quantum mechanics with quantum graphs.

Explore the fundamental concepts and applications of various types of graphs.

Understanding the interplay of signed graphs and their indices can reveal complex relationships.

Examining properties of perfect unitary Cayley graphs related to finite rings.

New model DyGIS enhances learning from dynamic graphs using informative subgraphs.

An overview of the challenges in classifying -free hypergraphs and their properties.

Researchers study tree structures in universal graphs and their significance in mathematics.

Explore the intriguing world of uniquely colorable hypergraphs and their properties.

A new framework improves learning from structured, noisy data using diffusion principles.

SGFormer simplifies graph learning for efficiency and scalability.

Exploring new methods and applications for clustering in graph theory.

A new method enhances node selection for graph domain adaptation.

New methods improve estimates of edge crossings in dense graphs.

A look into intersection graphs and their significance in various fields.

This article discusses the challenges in analyzing automata networks and their implications.

Examining the complexities of Eulerian paths in infinite graphs.

AAGCN improves how GNNs learn from complex data structures.

Exploring new methods for analyzing random structures in statistics.

DCT+ methods enhance graph signal processing efficiency for audio and video applications.

A look into cubic graphs and their eigenvalue properties.

A look into the relationships and characteristics of circular-arc and chordal graphs.

New methods enhance GNNs for challenging graph types.

An overview of power graphs, their orientations, and implications in group theory.

A method for better handling large networks in machine learning.

Discover the fundamental concepts and applications of matroids in mathematics.

An overview of the structure and properties of generalized Paley graphs.

Examining how graph properties impact chemical compounds and their behaviors.

A new model reveals insights into positive and negative relationships in networks.

This article explores the connections between critical groups and harmonic covers in graphs.

Exploring novel measurements of distance in graphs using advanced mathematics and linear algebra.

A look into the complexities of bichromatic spanning trees and their applications.

PropEnc transforms graph metrics into useful node features, enhancing GNN performance.

Learn how digraphs improve refueling station placement for electric vehicles.

Toric posets offer new insights into the study of partially ordered sets.