A Probit Tensor Factorization Model For Relational Learning

DOI10.1080/10618600.2021.2003204OpenAlexW3215736701WikidataQ114099331 ScholiaQ114099331MaRDI QIDQ5057094

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Publication date: 15 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2111.03943

zbMATH Keywords

EM algorithmprobit modellink predictionopen-world assumptionmulti-relational dataalternating least square

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Tucker-3 decomposition with sparse core array using a penalty function based on Gini-index

Uses Software

• latentnet
• softImpute
• PARAFAC
• node2vec
• DBpedia

Cites Work

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• PARAFAC: Parallel factor analysis
• Hierarchical multilinear models for multiway data
• Equivariant and scale-free Tucker decomposition models
• A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict
• Multilinear tensor regression for longitudinal relational data
• Estimating the dimension of a model
• A semantic matching energy function for learning with multi-relational data
• Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases
• Nonparametric Bayes dynamic modelling of relational data
• Learning Tensors From Partial Binary Measurements
• Exploiting Efficient Representations in Large-Scale Tensor Decompositions
• Latent Space Models for Dynamic Networks
• Provable Sparse Tensor Decomposition

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