Browse > Knowledge Base > Knowledge Graphs > Knowledge Graph Completion

Knowledge Graph Completion

18 papers with code · Knowledge Base
Subtask of Knowledge Graphs

State-of-the-art leaderboards

Latest papers with code

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

18
07 Sep 2019

An Open-World Extension to Knowledge Graph Completion Models

19 Jun 2019haseebs/OWE

We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i. e. to predict facts for entities unseen in training based on their textual description.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION WORD EMBEDDINGS

9
19 Jun 2019

Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs

Information Retrieval Journal 2019 guruprasadnk7/DAGSimilarityKatz

In this paper, we focus on measures that leverage structural properties of the knowledge hierarchy graph to assess the temporal changes.

KNOWLEDGE GRAPH COMPLETION QUESTION ANSWERING

1
01 Jun 2019

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

90
13 May 2019

Quaternion Knowledge Graph Embedding

23 Apr 2019cheungdaven/QuatE

In this work, we move beyond the traditional complex-valued representations, introducing more expressive hypercomplex representations to model entities and relations for knowledge graph embeddings.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS

22
23 Apr 2019

Binarized Knowledge Graph Embeddings

8 Feb 2019KokiKishimoto/cp_decomposition_alpha

This limitation is expected to become more stringent as existing knowledge graphs, which are already huge, keep steadily growing in scale.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDINGS QUANTIZATION

6
08 Feb 2019

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

133
28 Jan 2019

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

53
30 Oct 2018

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

96
10 Sep 2018