Who Cited It

A Review of Relational Machine Learning for Knowledge Graphs

2015 · Proceedings of the IEEE · 1,681 citations · 6 from inside this corpus

Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

A Review of Relational Machine Learning for Knowledge Graphs (2015)A Review of Relational Machin…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …WordNet (1995)WordNetMachine learning a probabilistic perspective (2012)Machine learning a probabilis…Stacked generalization (1992)Stacked generalizationProbabilistic graphical models : principles and techniques (2009)Probabilistic graphical model…The relationship between Precision-Recall and ROC curves (2006)The relationship between Prec…Large-Scale Machine Learning with Stochastic Gradient Descent (2010)Large-Scale Machine Learning …Translating Embeddings for Modeling Multi-relational Data (2013)Translating Embeddings for Mo…Linked Data - The Story So Far (2009)Linked Data - The Story So FarA FRAMEWORK FOR REPRESENTING KNOWLEDGE (1988)A FRAMEWORK FOR REPRESENTING …Yago (2007)YagoMarkov logic networks (2006)Markov logic networksKnowledge representation: logical, philosophical, and computational foundations (2000)Knowledge representation: log…Embedding Entities and Relations for Learning and Inference in Knowledge Bases (2014)Embedding Entities and Relati…Toward an Architecture for Never-Ending Language Learning (2010)Toward an Architecture for Ne…CYC (1995)CYCResource Description Framework (RDF): Concepts and Abstract Syntax (2004)Resource Description Framewor…Reasoning With Neural Tensor Networks for Knowledge Base Completion (2013)Reasoning With Neural Tensor …Introduction to Statistical Relational Learning (2007)Introduction to Statistical R…Knowledge vault (2014)Knowledge vaultBuilding Watson: An Overview of the DeepQA Project (2010)Building Watson: An Overview …Inverse entailment and progol (1995)Inverse entailment and progolA Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021)A Survey on Knowledge Graphs:…Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)Knowledge Graph Embedding: A …Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…Knowledge Graph Embedding via Dynamic Mapping Matrix (2015)Knowledge Graph Embedding via…Language Models as Knowledge Bases? (2019)Language Models as Knowledge …Knowledge Graphs (2021)Knowledge Graphs
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Topics

Advanced Graph Neural NetworksComputer Science
Bayesian Modeling and Causal InferenceComputer Science
Graph Theory and AlgorithmsComputer Science

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  • supports4 author record(s) attached.
  • supports213 reference(s) recorded.
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  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…