Latest Articles for Graph Theory

A look at how Clifford gates affect quantum states through Cayley graphs and reachability graphs.

A look at quantum methods to improve solutions for the MaxCut optimization challenge.

NodeFormer enhances graph data processing, improving scalability and flexibility in machine learning.

Exploring the relationship between strong blocking sets, minimal codes, and expander graphs.

This study explores the least eigenvalue property in graph complements and its significance.

An overview of combinatorial games and their fundamental concepts.

New framework improves predictions in knowledge graphs with limited examples.

A look at geometric inhomogeneous random graphs and their practical applications.

A look into Roman Domination and its applications in graph theory.

A new method for labeling nodes efficiently in large graphs.

A study on optimizing arrangements of bipartite planar graphs in linear layouts.

Permutation graphs play a crucial role in graph isomorphism testing and algorithm development.

This study reveals new strategies for minimizing regret in online learning.

A structured approach to enhance learning in autonomous systems through skill hierarchies.

A look into the structure and significance of even Artin groups in mathematics.

Research reveals new families of edge-girth-regular graphs with unique properties.

This article examines combinatorial identities using probabilistic methods for new insights.

This paper presents two new algorithms for clustering graphs with clear structures.

Researchers use deep learning to analyze and predict properties of knots.

Research unveils conditions for Hamilton cycles in complex graphs.

Discover how Topology-aware Multi-hop Reasoning improves knowledge graphs.

A fresh approach to improving Graph Neural Networks using model soups.

Assessing GSL methods for improved graph data learning.

A novel method to enhance graph representation and classification accuracy.

SGFormer efficiently processes large graphs with a single layer of attention.

Explore the properties and applications of infinite Eulerian trails in graph theory.

A new approach enhances GNNs by adapting to diverse datasets without retraining.

New methods improve efficiency in bin packing and hypergraph coloring applications.

This article discusses methods to find missing subgraphs in larger graphs.

A new approach to analyze complex relationships over time using temporal hypergraphs.

Examining how colors influence the appearance of shapes in mathematical spaces.

New methods in AMR parsing enhance language comprehension and graph accuracy.

This study sheds light on the role of ordered matchings in Ramsey theory.

A new framework to assess structural embeddings for enhanced data analysis.

A method for maintaining large matchings in frequently updated graphs.

This article discusses improving GNNs for analyzing financial transaction patterns.

This study investigates how negative feedback can enhance graph traversal efficiency.

Exploring the complexities of embedding multiple planar graphs without overlap.

A deep dive into the Frank number and graph connectivity.

New method creates large, detailed graphs for diverse applications.