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Knowledge Graph Completion

26 papers with code · Knowledge Base
Subtask of Knowledge Graphs

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Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

28 Mar 2020RUCDM/KB4Rec

Our generator is isolated from user interaction data, and serves to improve the performance of the discriminator.

KNOWLEDGE GRAPH COMPLETION

148
28 Mar 2020

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

18 Mar 2020idirlab/kgcompletion

A more fundamental defect of these models is that the link prediction scenario, given such data, is non-existent in the real-world.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

11
18 Mar 2020

Towards Learning Instantiated Logical Rules from Knowledge Graphs

13 Mar 2020irokin/GPFL

Instantiated rules contain constants extracted from KGs.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

3
13 Mar 2020

Entity Context and Relational Paths for Knowledge Graph Completion

17 Feb 2020muhanzhang/IGPL

Knowledge graph completion aims to predict missing relations between entities in a knowledge graph.

KNOWLEDGE GRAPH COMPLETION

64
17 Feb 2020

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

2 Feb 2020pizzaonline/Knowledge-Graph

In this survey, we provide a comprehensive review on knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge acquisition and completion, 3) temporal knowledge graph, and 4) knowledge-aware applications, and summarize recent breakthroughs and perspective directions to facilitate future research.

GRAPH REPRESENTATION LEARNING KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING RELATIONAL REASONING

1
02 Feb 2020

Quaternion Knowledge Graph Embeddings

NeurIPS 2019 cheungdaven/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 EMBEDDINGS

55
01 Dec 2019

Inductive Relation Prediction by Subgraph Reasoning

16 Nov 2019muhanzhang/IGPL

The dominant paradigm for relation prediction in knowledge graphs involves learning and operating on latent representations (i. e., embeddings) of entities and relations.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING QUESTION ANSWERING RELATIONAL REASONING

64
16 Nov 2019

A Re-evaluation of Knowledge Graph Completion Methods

10 Nov 2019svjan5/kg-reeval

Knowledge Graph Completion (KGC) aims at automatically predicting missing links for large-scale knowledge graphs.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION

15
10 Nov 2019

Relation Adversarial Network for Low Resource Knowledge Graph Completion

8 Nov 2019zxlzr/RAN

Specifically, the framework takes advantage of a relation discriminator to distinguish between samples from different relations, and help learn relation-invariant features more transferable from source relations to target relations.

KNOWLEDGE GRAPH COMPLETION LINK PREDICTION PARTIAL DOMAIN ADAPTATION RELATION EXTRACTION

6
08 Nov 2019

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 TRIPLE CLASSIFICATION

138
07 Sep 2019