Latest Articles for Network Analysis

Grad-Align+ improves network alignment without needing extra information.

A method for testing conductance without centralized data collection.

A new model enhances semi-supervised classification in GNNs through optimized node-wise diffusion.

This article examines locally cyclic graphs and their behavior under clique dynamics.

Study reveals how movement influences information and disease spread in social networks.

Exploring the properties and construction of minimal asymmetric hypergraphs.

A new method for testing network model fit enhances accuracy and insights.

Explore the complexity of multilayer networks and their real-world applications.

Discover how token graphs reveal insights into graph properties via eigenvalue analysis.

Explore the significance of cycles in graph structures and their applications.

Union Subgraph Neural Networks enhance graph analysis by capturing local structures.

A study on the role of centrality and cyclicality in economic interactions.

NODDLE combines node2vec and deep learning for improved link prediction accuracy.

A new method reveals hidden interactions in complex networks.

New approaches aim to improve GCN performance and generalization.

A look into the properties of triangulated and -perfect graphs.

An overview of cographs, their properties, and significance in graph theory.

Examining how agents form clusters to improve communication and performance.

DomiRank centrality measures node influence in networks, revealing vulnerabilities and resilience.

Discover the significance of node role discovery in analyzing network dynamics.

Learn how Achlioptas processes shape dynamic random graphs and their behaviors.

New techniques enhance efficiency and expressiveness in graph analysis.

ITR improves graph storage and query speed significantly.

Explore key issues affecting GNN performance in link prediction tasks.

This article examines attribute inference attacks on GNNs and their impact on privacy.

A look into BNRA and the coverability problem for agent coordination.

Cacti play a crucial role in network analysis and geometric research.

Exploring machine learning methods for network optimization challenges.

This article discusses directed 1-separations and their role in infinite digraphs.

A look into the localized and delocalized phases of Erdős-Rényi graphs and their eigenvectors.

A breakdown of electrical networks, conductances, and their behavior based on observed responses.

A method for finding superfluous elements in complex networks.

Explore the dynamics of zero forcing and its applications in various fields.

This article discusses the significance of community detection in network analysis.

Explore how invariants and home spaces help in system analysis.

A framework to assess how networks interact, offering insights into efficiency and redundancy.

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

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

A study of alliances formed by EU nations in legal cases.

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