Limits of multi-relational graphs

DOI10.1007/s10994-022-06281-xOpenAlexW4310652624MaRDI QIDQ6097146

Jan Ramon, Juan F. J. Alvarado, Yuyi Wang

Publication date: 12 June 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-022-06281-x

zbMATH Keywords

large deviation principleMarkov logic networkgraphon theorylarge multigraph

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Projective families of distributions revisited

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Consistency under sampling of exponential random graph models
• Asymptotic structure and singularities in constrained directed graphs
• Testing properties of graphs and functions
• The large deviation principle for the Erdős-Rényi random graph
• Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\)
• Limits of dense graph sequences
• Szemerédi's lemma for the analyst
• First-order limits, an analytical perspective
• Convergent sequences of dense graphs. I: Subgraph frequencies, metric properties and testing
• Modelling relational statistics with Bayes nets
• Multipodal structure and phase transitions in large constrained graphs
• Markov logic networks
• Phase transitions in a complex network
• Graphical Models, Exponential Families, and Variational Inference
• Real Analysis and Probability
• The asymptotics of large constrained graphs

This page was built for publication: Limits of multi-relational graphs