Statistical Relational Learning Publications

Publications in Statistical Relational Learning

Explore the most influential research papers and scholarly works that have shaped Statistical Relational Learning. Use the concept filter below to focus on a specific sub-area of research.

Statistical Relational Learning

1.8K

Publications

113.4K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Markov logic networks Matthew Richardson, Pedro Domingos Machine Learning Artificial IntelligenceMarkov Logic NetworksProbability LogicEngineeringAutomated Reasoning	2006	2.7K
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications Shaoxiong Ji, Shirui Pan, Erik Cambria, IEEE Transactions on Neural Networks and Learning Systems Artificial IntelligenceEngineeringTemporal Knowledge GraphSemanticsSemantic Web	2021	2.5K
Consistency in networks of relations Alan K. Mackworth Artificial Intelligence Network ScienceGraph TheoryEngineeringAutomated ReasoningKnowledge Discovery	1977	2.4K
Mixed Membership Stochastic Blockmodels. Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, PubMed Many Boilerplate ModelsEngineeringMachine LearningStochastic AnalysisLink Prediction	2008	1.5K
Relational Knowledge Distillation Wonpyo Park, Dongju Kim, Yan Lu, EngineeringMachine LearningSemanticsStatistical Relational LearningNatural Language Processing	2019	1.5K
Learning Logical Definitions from Relations J. R. Quinlan Machine Learning Automated ReasoningComputational LinguisticsInductive Logic ProgrammingLanguage StudiesSemantics	1990	1.4K
Relational learning via collective matrix factorization Ajit Singh, Geoffrey J. Gordon Natural Language ProcessingMovies Ratings MatrixEngineeringMachine LearningData Science	2008	1.2K
Complex Embeddings for Simple Link Prediction Théo Trouillon, Johannes Welbl, Sebastian Riedel, arXiv (Cornell University) EngineeringMachine LearningComplex EmbeddingsLink Prediction ProblemLink Prediction	2016	1.1K
<scp>ml</scp>‐<scp>relate</scp>: a computer program for maximum likelihood estimation of relatedness and relationship Steven T. Kalinowski, Aaron P. Wagner, Mark L. Taper Molecular Ecology Notes Maximum Likelihood EstimationSimilarity MeasureGeneticsGenotype DataLinkage Analysis	2006	932
A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination Lotfi A. Zadeh AI Magazine Artificial IntelligenceFamiliar Retrieval TechniquesEngineeringKnowledge-based ReasoningSocial Sciences	1986	796
Mixed membership stochastic blockmodels Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, arXiv (Cornell University) Many Boilerplate ModelsEngineeringMachine LearningStochastic PhenomenonLink Prediction	2007	786
Relational learning via latent social dimensions Lei Tang, Huan Liu EngineeringMachine LearningLink PredictionText MiningStatistical Relational Learning	2009	770

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