Latest Articles for Graph Theory

Discover the fascinating world of graph rigidity and its implications.

Explore the relationships between structures through growth bijections and their fascinating applications.

A look at graded Frobenius algebras and their mathematical connections.

Explore how weighted graphs reflect relationships and behaviors in mathematics.

Learn how mathematicians tackle patterns in graphs effectively.

Discover the fascinating world of mathematical crystals and their role in Lie algebras.

A new tool clarifies how graph neural networks make predictions.

Discover the intriguing Rainbow Arborescence Conjecture in graph theory.

New methods improve Graph Neural Networks for better insights.

New methods enhance our grasp of independent sets in hypergraphs.

Discover the complexities and applications of sparse induced subgraphs in graph theory.

Researchers use variational algorithms to enhance Hamiltonian optimization in quantum computing.

Discover the complexities of optimizing travel routes through fascinating principles and case studies.

Discover the fascinating world of hypergraphs and their role in complex problem-solving.

Discover the challenge of Ramsey numbers in coloring and connections.

Explore the fascinating world of games shaped by time and strategy.

Learn how limited information aids in node classification using semi-supervised learning.

A deep dive into the sparsest cut problem and its significance in various fields.

Discover when Graph Attention Networks shine and when simpler methods prevail.

Discover the fascinating world of link theory and its key concepts.

Explore how DG-Gen transforms dynamic graph generation and analysis.

Discover how graphs connect and the implications of the Chen-Raspaud conjecture.

Learn how to connect people effectively without overspending.

Multi-view Fuzzy Graph Attention Networks improve understanding of complex data relationships.

Alice and Bob face off in a challenging coloring game.

Discover how edge filtration enhances graph neural networks for better data representation.

Exploring the fascinating world of graph homomorphisms and their importance in computer science.

GAT-RWOS offers a new method to balance classes in data science effectively.

Discover how hypergraphs change our view of group relationships and community structures.

Explore the intriguing nature and applications of 1-planar graphs.

Dive into the fascinating world of off-diagonal Ramsey numbers in graph theory.

Explore the fascinating connections and rules of graphs and Turán problems in this engaging article.

Discover the intriguing world of random graphs and their real-life applications.

Explore cycle convexity in graphs and its real-world applications.

Introducing ERGNN, a new method improving graph neural networks with rational filters.

A smarter method for understanding user preferences in signed bipartite graphs.

FedGIG tackles privacy risks in graph data training.

Discover how Graph Signal Processing transforms complex data analysis.

Discover the intriguing structures of tree tiling in random graphs.

A new method enhances graph representation learning using self-supervised approaches.