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Knowledge Graph Completion

18 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

TuckER: Tensor Factorization for Knowledge Graph Completion

28 Jan 2019ibalazevic/TuckER

Knowledge graphs are structured representations of real world facts.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

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

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

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Association of Computational Linguistics (ACl) 2019 2019 deepakn97/relationPrediction

The recent proliferation of knowledge graphs (KGs) coupled with incomplete or partial information, in the form of missing relations (links) between entities, has fueled a lot of research on knowledge base completion (also known as relation prediction).

KNOWLEDGE BASE COMPLETION KNOWLEDGE GRAPH COMPLETION

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