Imagen de Portada

Learning the mechanisms of network growth

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Touwen, Lourens, Bucur, Doina, van der Hofstad, Remco, Garavaglia, Alessandro, Litvak, Nelly
Formato:	Preprint
Publicado:	2024
Materias:	Social and Information Networks Probability Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Detecting hyperbolic geometry in networks: why triangles are not enough
por: Michielan, Riccardo, et al.
Publicado: (2022)

Degrees in Preferential Attachment Networks with an Anomaly
por: Liang, Qiu, et al.
Publicado: (2025)

Bringing order to network centrality measures
por: Exarchakos, G., et al.
Publicado: (2026)

Power-law hypothesis for PageRank on undirected graphs
por: Henning, Florian, et al.
Publicado: (2024)

Universality of the local limit of preferential attachment models
por: Garavaglia, Alessandro, et al.
Publicado: (2022)

Percolation on random graphs
por: van der Hofstad, Remco
Publicado: (2025)

When does the mean network capture the topology of a sample of networks?
por: Meyer, François G
Publicado: (2024)

Why the Metric Backbone Preserves Community Structure
por: Dreveton, Maximilien, et al.
Publicado: (2024)

Stationary distribution of node2vec random walks on household models
por: Schroeder, Lars, et al.
Publicado: (2025)

Flexible inference in heterogeneous and attributed multilayer networks
por: Contisciani, Martina, et al.
Publicado: (2024)

Meta-learning optimizes predictions of missing links in real-world networks
por: Singh, Bisman, et al.
Publicado: (2025)

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
por: Do, Nguyen, et al.
Publicado: (2024)

Clustering without geometry in sparse networks with independent edges
por: Catanzaro, Alessio, et al.
Publicado: (2026)

Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks
por: Qing, Huan, et al.
Publicado: (2022)

Graph energy as a measure of community detectability in networks
por: Böttcher, Lucas, et al.
Publicado: (2026)

Long-range first-passage percolation on the torus
por: van der Hofstad, Remco, et al.
Publicado: (2023)

Multi-Community Spectral Clustering for Geometric Graphs
por: Allem, Luiz Emilio, et al.
Publicado: (2025)

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
por: Platonov, Oleg, et al.
Publicado: (2022)

Uncertainty quantification and posterior sampling for network reconstruction
por: Peixoto, Tiago P.
Publicado: (2025)

A model for efficient dynamical ranking in networks
por: Della Vecchia, Andrea, et al.
Publicado: (2023)

Harnessing Multiple Correlated Networks for Exact Community Recovery
por: Rácz, Miklós Z., et al.
Publicado: (2024)

Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
por: Liu, Suqi, et al.
Publicado: (2024)

Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
por: Yang, Xiaodong, et al.
Publicado: (2024)

Model Selection with Model Zoo via Graph Learning
por: Li, Ziyu, et al.
Publicado: (2024)

Node Similarities under Random Projections: Limits and Pathological Cases
por: Tadić, Tvrtko, et al.
Publicado: (2024)

The Spectral Barycentre of a Set of Graphs with Community Structure
por: Meyer, François G.
Publicado: (2025)

The giant in random graphs is almost local
por: van der Hofstad, Remco
Publicado: (2021)

Ising model on preferential attachment models
por: van der Hofstad, Remco, et al.
Publicado: (2025)

Capacity of the Hebbian-Hopfield network associative memory
por: Stojnic, Mihailo
Publicado: (2024)

Assortativity in geometric and scale-free networks
por: Kaufmann, Marc, et al.
Publicado: (2025)

Fixed width treelike neural networks capacity analysis -- generic activations
por: Stojnic, Mihailo
Publicado: (2024)

Random cluster models on random graphs
por: Can, Van Hao, et al.
Publicado: (2025)

Exact capacity of the \emph{wide} hidden layer treelike neural networks with generic activations
por: Stojnic, Mihailo
Publicado: (2024)

Bayes-optimal learning of an extensive-width neural network from quadratically many samples
por: Maillard, Antoine, et al.
Publicado: (2024)

SIR on locally converging dynamic random graphs
por: Milewska, Marta, et al.
Publicado: (2025)

Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks
por: Stoica, Ana-Andreea, et al.
Publicado: (2024)

The stochastic block model has the overlap graph property for modularity
por: Bhamidi, Shankar, et al.
Publicado: (2026)

Network reconstruction via the minimum description length principle
por: Peixoto, Tiago P.
Publicado: (2024)

Efficient Graph Matching for Correlated Stochastic Block Models
por: Chai, Shuwen, et al.
Publicado: (2024)

Robustness of graph embedding methods for community detection
por: Wei, Zhi-Feng, et al.
Publicado: (2024)