知识图谱 论文

知识图谱 论文

基于张量分解的知识图谱表示学习： Large-scale factorization of type-constrained multi-relational data Querying factorized probabilistic triple databases Logistic tensor factorization for multi-relational data Reducing the rank in relational factorization models by including observable patterns

基于翻译的知识图谱表示学习 Translating embeddings for modeling multi-relational data(TransE) Knowledge Graph Embedding by Translating on Hyperplanes (TransH) Learning Entity and Relation Embeddings for Knowledge Graph Completion(TransR) Knowledge graph embedding via dynamic mapping matrix(TransD) Knowledge graph completion with adaptive sparse transfer matrix(TransSparse) Learning to represent knowledge graphs with gaussian embeddings(KG2E) Representation learning of knowledge graphs with entity description Modeling relation paths for representation learning of knowledge bases Knowledge base completion using embeddings and rules Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data Representation Learning of Knowledge Graphs with Hierarchical Types Knowledge Representation Learning with Entities Semantic Space Projection for Knowledge Graph Embedding with Text Description a novel embedding model of entitiesand relationships in knowledge bases

基于神经网络的知识图谱表示学习 Reasoning with neural tensor networks for knowledge base completion A semantic matching energy function for learning with multi-relational data

延伸阅读 Freebase : a collaboratively created graph database for structuring human knowledge Learning structured embeddings of knowledge bases A latent factor model for highly multi-relational data Modelling relational data using bayesian clustered tensor factorization Knowledge vault : A web-scale approach to probabilistic knowledge fusion

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