Latest Articles for Graph Theory

New methods improve training speed and accuracy of GNNs using quantization.

FGNNs improve learning of complex relationships in graph data.

Research tackles the Maximum Weighted Digraph Partition problem for optimal graph division.

GACN combines GCL and GAN to improve graph representation learning.

An exploration of the interplay between random graphs and their associated algebras.

Discover how convex polygons in 3D depict graph connections effectively.

A look at how letter swaps create unique word configurations.

Learn how directed graphs use spanning trees and distributions for real-world applications.

Introducing a neural network that efficiently approximates Wasserstein distance for complex point sets.

A look into the Biclique-Free Vertex Deletion problem and its implications.

Exploring the interplay between link homology, foams, and webs in mathematics.

A look into hyperelliptic curves and their role in algebraic geometry.

Exploring efficient methods for connecting nodes across networks with Universal Steiner Trees.

Analyzing gene transfer in evolution with Fitch graphs aids scientific insights.

This article examines twin-width and tree-width as important graph measurements.

A new encoding scheme improves graph representation and access efficiency using multiple classes.

A new approach to applying neural networks to graph structures.

A new model improves the analysis of changing graphs using graph embedding techniques.

A new method enhances analysis of complex networks without prior labels.

Exploring efficient methods to tackle complex graph challenges in real-time settings.

Exploring the complexities of edge coloring in graph theory and wireless networks.

This article details a powerful parallel method for solving positive linear programs in graphs.

A method in mathematics for analyzing chip movements on graphs.

Simplifying counting problems in graphs through new approaches for better efficiency.

Discover connections between Dyck paths and specific permutations in mathematics.

A study on graph commonality with applications in graph theory.

This study examines how connections in causal triangulations form large clusters.

A new method combines image classification with graph optimization challenges.

Explore the concept of trees and their significance in mathematics and combinatorics.

A look into shallow hitting edge sets and their significance in hypergraphs.

TeraHAC efficiently clusters large graphs, enhancing data analysis for various fields.

Understanding how shapes affect motif recognition in complex graphs.

Study reveals mass dynamics in random potential on regular trees.

Discover methods for efficient testing of graph properties.

This article explores LCL problems and their complexities in tree structures.

Explore the significance of graph indices in various fields.

An overview of determinants and algebraic branching programs in complexity theory.

Study of signed graphs reveals new coloring methods and properties.

An overview of Redei-Berge symmetric functions and their significance in directed graphs.

A study on connections in hypergraphs and the role of trees and bushes.