Latest Articles for Graph Theory

This article examines min-k-planar drawings and their significance in graph representation.

i-Align enhances knowledge graph alignment through clear explanations and efficient processing.

A look into mapping class groups and their impact on surfaces.

This work presents a method to improve node embeddings using random walks.

Exploring the significance of convex minorant trees in analyzing random graphs.

A new approach to retain knowledge in graph data amidst continuous updates.

An overview of vector partition functions and their applications in mathematics.

Learn how to address issues of data imbalance in graph analysis.

Exploring various complexities and types of domino snake problems in combinatorial group theory.

An accessible look at Dirac operators and their significance on graphs.

Innovative approach speeds up training of temporal interaction graphs on GPUs.

A study on how spectral independence affects system stability and mixing time.

New methods improve the efficiency of estimating latent vectors in random graphs.

New techniques improve performance of Graph Neural Networks in handling large data structures.

Research enhances coding techniques for better data transmission and error correction.

Learn methods for quick query evaluation using Common Graph structures.

Learn how graph embeddings simplify data relationships for machine learning applications.

Analyzing the connection between C-I graphs, chordal graphs, and cographs.

Exploring the relationship between eigenvalues and independence complexes in graph theory.

A new method for counting graphlets in changing networks.

Examining the relationship between ultragraphs and algebraic structures in mathematics.

This study reveals new insights into hypergraph colorability and weak chromatic numbers.

A look at segment and line cover numbers in graph representation.

A framework to identify sparse matrix structures using limited data.

Addressing over-squashing can improve the performance of Graph Neural Networks.

A new method for efficiently finding maximum 2-packing sets in graphs.

ExGNAS improves efficiency and clarity in graph neural network design.

A look into the role of ribbon graphs and their significance in knot theory.

New algorithms improve solutions for the Maximum Bimodal Subgraph problem.

A look into the significance and methods of Fixed Cardinality Graph Partitioning.

Exploring correspondence coloring and chromatic numbers in random graphs.

An overview of Fekete polynomials and their significance in mathematics.

Graphs reveal relationships through their spectra and structural properties.

This article examines k-coloring and its significance in random hypergraphs.

A look into the dynamics of random matroids and their significance in mathematics.

Examining cop number dynamics in k-uniform hypergraphs.

New techniques in order sweep maps enhance path analysis in mathematics.

Introducing a new method for effective graph visualization.

An overview of combinatorial problems related to joints and graph theory.

A look at independent sets in claw-free graphs and their significance.