Latest Articles for Graph Theory

Learn how the dimer model helps organize complex pairings in graphs.

Learn how to protect GNNs from adversarial attacks and enhance their reliability.

Dive into the fascinating world of Artin groups and their intriguing properties.

Discover the role of edge coloring in understanding graphs and relationships.

Learn how dimensionality reduction and graph drawing simplify complex data.

Discovering influential communities in bipartite graphs and their real-world applications.

Discover the fascinating world of maximal planar graphs and their saturation properties.

GHGRL simplifies analyzing complex heterogeneous graphs using language models.

A new method enhances Graph Neural Networks by finding efficient subgraphs quickly.

Discover the fascinating world of Triangle Artin groups and their structures.

Discover the links between algebraic curves and metric graphs through the tropical Abel-Prym map.

A new approach to enhance Graph Neural Networks by addressing oversmoothing challenges.

Explore the role of signed graphs in data science and advancements in GNNs.

Discover how forcing numbers reveal stability in graphs and structures.

Discover how GGNN transforms graph analysis through innovative methods.

Discover how VRDAG innovates data graph generation with dynamic attributes.

Discover the importance of graph states in quantum computing.

Discover how math helps us understand friendships and social interactions.

Discover how graph theory concepts relate to strategy and efficiency.

Mamba framework addresses challenges in dynamic graphs for efficient learning and analysis.

Revolutionizing machine learning with innovative graph mixup techniques.

Inceptive Graph Neural Networks bridge the gap between homophily and heterophily for better data representation.

A look into MWIS and its real-world applications.

SIGNA simplifies graph learning using a single view approach.

A journey through the fascinating world of posets and their structures.

Discover the fascinating world of edge-graceful labeling in graph theory.

Discover the fascinating links between graphical arrangements and chromatic polynomials.

Dive into the fascinating world of Hamiltonian paths and cycles in graph theory.

Uncovering the intriguing eigenvalues and spectral edges of regular graphs.

Discover the complex connections in random Turan problems and hypergraphs.

Explore the deep connections between digraphs and symmetric functions in mathematics.

Discover the fascinating properties of graphs and their real-life applications.

Discover how trees and T-fractions reveal complex mathematical relationships.

A look into the Unbalanced Zarankiewicz problem in graph theory.

Exploring how dance parties reflect stable sets in graph theory.

FTC-GNN revolutionizes GNN performance through efficient core integration.

Discover the impact of colors on quasisymmetric functions in mathematics.

Explore how dynamic graph embedding transforms our understanding of changing networks.

Discover how Chebyshev polynomials and fan graphs reveal hidden connections in math.

Discover how bicliques help reveal hidden connections in networks and data.