Latest Articles for Graphs

Analyzing challenges of parcel sorting using graphs for improved logistics.

A new tool improves tracking of microtubules in cell studies.

VISA offers a new way to tackle complex optimization problems using spin models.

Explore how switching alters graph structures and their implications across various fields.

Exploring methods for verifying graph properties through distributed computing.

A new approach to understanding graph structures from node signals.

Graphs allow for new insights into music structure and relationships.

This article discusses methods for calculating high temperature series expansions for magnetic materials.

Learn how edge-geodetic sets help monitor network connections.

Examining how to uniquely pack three copies of 2-factors in graph theory.

Examining the relationships and complexity of Weihrauch degrees through equational theory.

Explore how random walks provide insights into network structures and behaviors.

Developing algorithms for effective triangle sampling in graph data streams.

Explore the fundamentals and applications of graph theory in various fields.

A look into graphs, their properties, and their role in computer science.

A new approach to create presentations from lengthy documents effectively.

An overview of hypermaps and their significance in mathematics and science.

New methods improve how we analyze complex graph data structures.

Exploring how transformers tackle various graph reasoning tasks effectively.

Learn how spanners can maintain distance accuracy despite edge failures.

This article investigates efficient string threading techniques to reduce turning costs.

Analyzing the significance of graph Laplacians in connectivity and structure.

This study examines the complexities of the -Coloring problem in graphs.

Researchers develop a model to improve graph learning using data from various sources.

A framework to improve continual learning with graph-structured data.

A look at graph embeddings and the conditions needed for their mapping.

PANDA improves graph neural networks by enhancing information flow without altering graph structure.

A look at how color changes in graphs through a probabilistic process with reversion.

A look into palindromes and their importance in language, math, and computer science.

This article clarifies the links between effective resistance and optimal transport on graphs.

Improving DFS algorithms for efficient graph processing under memory constraints.

A look at the challenges and progress in understanding Shannon capacity.

An overview of maximum matching concepts, challenges, and algorithms in graphs.

A novel approach to enhance link prediction in various graph types.

OLGA effectively classifies graph nodes for one-class learning tasks using innovative techniques.

Exploring how AI improves dialogue-based understanding and response accuracy.

A new benchmark addresses biases in link prediction evaluations for better real-world applications.

Exploring the significance of spectral radii in graphs and their applications.

Language agents are becoming more adaptable, improving their communication and problem-solving skills.

A deep dive into toric ideals and their relation to graph structures.