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