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Knowledge Graph Completion

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.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION RELATIONAL REASONING

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.

FEATURE ENGINEERING KNOWLEDGE GRAPH COMPLETION

One-Shot Relational Learning for Knowledge Graphs

EMNLP 2018 xwhan/One-shot-Relational-Learning

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

KNOWLEDGE GRAPH COMPLETION RELATIONAL REASONING

Learning Sequence Encoders for Temporal Knowledge Graph Completion

EMNLP 2018 nle-ml/mmkb

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

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

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.

KNOWLEDGE GRAPH COMPLETION LANGUAGE MODELLING LINK PREDICTION

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

NAACL 2019 daiquocnguyen/ConvKB

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

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

Open-World Knowledge Graph Completion

9 Nov 2017bxshi/ConMask

Knowledge Graphs (KGs) have been applied to many tasks including Web search, link prediction, recommendation, natural language processing, and entity linking.

ENTITY LINKING KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

DSKG: A Deep Sequential Model for Knowledge Graph Completion

30 Oct 2018nju-websoft/DSKG

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 $(subject, relation, object)$.

KNOWLEDGE GRAPH COMPLETION