Latest Articles for Graphs

This article discusses enhancing agent learning in networked environments through a new model.

An overview of perfect matchings in graph theory and their significance.

Exploring how graphs can be distinguished through their spectral properties.

Learn how hierarchical optimization can improve power system management.

Explore vital ideas in mathematics including functions, integrals, and their applications.

This article examines how Transformers solve problems using stepwise inference and graph models.

A look at methods to improve network robustness affordably.

A look into the Four Color Theorem and its significance in mathematics.

A guide to using SHACL shapes with SPARQL for effective data validation.

This paper discusses enhancing pre-trained models in the graph domain using SUPT.

An overview of core stability in coalition formation games.

A new method that simplifies graph learning using attention.

A look into the differences between ABC and ABS graph indices.

HeiStreamE and FreightE tackle large graph edge partitioning efficiently.

Learn about hyperbolic spaces and methods for finding nearby points efficiently.

CARTE simplifies tabular data analysis with context-aware neural networks.

Examining how fermions complicate qubit systems in quantum computing.

A new method improves the efficiency of reassembly tasks in 2D and 3D.

This study examines how to reconstruct points based on limited distance information.

A fresh look at grouping points in graphs for balanced clusters.

Examining the complexities of message delivery in connected graph networks.

A look at how GNNs analyze graphs and adapt to changes.

A new method enhances the analysis of short-lived particles in high-energy physics.

A study on finding maximum-sized properly colored forests in graph theory.

The study investigates how people perceive relational networks through graphs.

A comprehensive proof of the Kohayakawa-Kreuter conjecture sheds light on graph properties.

A new approach to improve topic modeling using graph-based relations.

A look into average hereditary graphs and their significance in graph theory.

A framework for improving pre-trained model selection through graph learning.

Explore methods for identifying stable sets within graph structures governed by matroid rules.

Explore the cops and robber game and its relevance in graph theory.

Research reveals methods to estimate space geometry using random geometric graphs.

A look into grouping techniques in correlation clustering for data relationships.

A study on strategies in a vertex coloring game between Alice and Bob.

Combining contrastive learning with control theory for graph analysis.

Examining methods to alter graphs into equal-sized cliques.

Exploring the FKM model's implications on particle behavior and phase transitions.

A new method to identify meaningful patterns in complex data graphs.

A look into how fire spreads across networks and its significance in social dynamics.

Exploring the efficient application of finite automata in recognizing graph patterns.