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Greatest papers with code

Fast Linear Model for Knowledge Graph Embeddings

30 Oct 2017facebookresearch/fastText

This paper shows that a simple baseline based on a Bag-of-Words (BoW) representation learns surprisingly good knowledge graph embeddings.

KNOWLEDGE BASE COMPLETION KNOWLEDGE GRAPH EMBEDDINGS QUESTION ANSWERING

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

ACL 2020 tensorflow/neural-structured-learning

However, existing hyperbolic embedding methods do not account for the rich logical patterns in KGs.

KNOWLEDGE GRAPH EMBEDDINGS

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

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 COMPLETION KNOWLEDGE GRAPH EMBEDDINGS LINK PREDICTION

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

ICLR 2020 uma-pi1/kge

A vast number of KGE techniques for multi-relational link prediction have been proposed in the recent literature, often with state-of-the-art performance.

HYPERPARAMETER OPTIMIZATION KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS LINK PREDICTION

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

28 Jul 2020pykeen/pykeen

Recently, knowledge graph embeddings (KGEs) received significant attention, and several software libraries have been developed for training and evaluating KGEs.

 Ranked #1 on Link Prediction on WN18 (training time (s) metric)

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS 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 Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

ACL 2017 stanfordnlp/cocoa

To model both structured knowledge and unstructured language, we propose a neural model with dynamic knowledge graph embeddings that evolve as the dialogue progresses.

KNOWLEDGE GRAPH EMBEDDINGS