Latest Articles for Graph Theory

This research enhances prediction reliability in GNNs through integrated uncertainty quantification.

Exploring the links between Leavitt algebras, chip firing models, and symbolic dynamics.

Explore the intricacies of edge-regular graphs and their unique structures.

New algorithms improve the estimation of Kemeny’s constant for directed graphs.

Graffin enhances tail node classification in imbalanced data scenarios.

This article explores the concept of tournament transitive partitioning in graph theory.

An overview of monochromatic tight cycles in edge-colored graphs and their significance.

This article explores soliton automata and their role in chemical state transitions.

A look into graph languages and their role in processing complex information.

A look into graph matching concepts and their significance.

GRE-MDCL improves graph learning by using enhanced data techniques.

Exploring disorientability in simplicial complexes and its implications.

Exploring the relationship between maximum degree and list coloring in bipartite graphs.

Exploring the intricate relationship between hypergraphs, Ramsey numbers, and combinatorial structures.

Explore the link between tree structures, diameter, and eigenvalues in mathematics.

Combining quantum mechanics with machine learning for time-varying data tasks.

A deep dive into the cardinality-based minimum cut problem in hypergraphs.

A look into incidences between points and lines in geometry and their implications.

Researching Schur-positivity through generalized nets and their chromatic symmetric functions.

Explore how hexagonal lattices impact particle behavior in quantum graphs.

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.