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Knowledge Graph Embeddings

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Convolutional 2D Knowledge Graph Embeddings

5 Jul 2017TimDettmers/ConvE

In this work, we introduce ConvE, a multi-layer convolutional network model for link prediction, and report state-of-the-art results for several established datasets.

KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

NAACL 2018 cai-lw/KBGAN

This framework is independent of the concrete form of generator and discriminator, and therefore can utilize a wide variety of knowledge graph embedding models as its building blocks.

KNOWLEDGE BASE COMPLETION KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

7 Sep 2017nle-ml/mmkb

A visual-relational knowledge graph (KG) is a multi-relational graph whose entities are associated with images.

IMAGE RETRIEVAL KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS ZERO-SHOT LEARNING

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

ACL 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 EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

4 Jul 2018YueLiu/NeuralTripleTranslation

Inspired by recent successes in neural machine translation, we treat the triples within a given knowledge graph as an independent graph language and propose an encoder-decoder framework with an attention mechanism that leverages knowledge graph embeddings.

KNOWLEDGE GRAPH EMBEDDINGS

Hypernetwork Knowledge Graph Embeddings

21 Aug 2018ibalazevic/HypER

Knowledge graphs are graphical representations of large databases of facts, which typically suffer from incompleteness.

KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

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

Incorporating Literals into Knowledge Graph Embeddings

3 Feb 2018SmartDataAnalytics/LiteralE

Most of the existing work on embedding (or latent feature) based knowledge graph analysis focuses mainly on the relations between entities.

ENTITY EMBEDDINGS KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS LINK PREDICTION

Expeditious Generation of Knowledge Graph Embeddings

21 Mar 2018AKSW/KG2Vec

Knowledge Graph Embedding methods aim at representing entities and relations in a knowledge base as points or vectors in a continuous vector space.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS LINK PREDICTION QUESTION ANSWERING