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Knowledge Graph Completion Edit

24 papers with code · Knowledge Base
Subtask of Knowledge Graphs

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Knowledge Graph Completion via Complex Tensor Factorization

22 Feb 2017Accenture/AmpliGraph

In statistical relational learning, knowledge graph completion deals with automatically understanding the structure of large knowledge graphs---labeled directed graphs---and predicting missing relationships---labeled edges.

1,076

TuckER: Tensor Factorization for Knowledge Graph Completion

Knowledge graphs are structured representations of real world facts.

165

ProjE: Embedding Projection for Knowledge Graph Completion

16 Nov 2016Sujit-O/pykg2vec

In this work, we present a shared variable neural network model called ProjE that fills-in missing information in a knowledge graph by learning joint embeddings of the knowledge graph's entities and edges, and through subtle, but important, changes to the standard loss function.

153

One-Shot Relational Learning for Knowledge Graphs

Knowledge graphs (KGs) are the key components of various natural language processing applications.

144

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

17 Feb 2019TaoMiner/joint-kg-recommender

In this paper, we jointly learn the model of recommendation and knowledge graph completion.

123

Learning Sequence Encoders for Temporal Knowledge Graph Completion

In line with previous work on static knowledge graphs, we propose to address this problem by learning latent entity and relation type representations.

114

KG-BERT: BERT for Knowledge Graph Completion

7 Sep 2019yao8839836/kg-bert

Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness.

112

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object).

107

Open-World Knowledge Graph Completion

Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of $(subject, relation, object)$.