Knowledge Graph Embedding

92 papers with code • 1 benchmarks • 2 datasets

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Greatest papers with code

CoKE: Contextualized Knowledge Graph Embedding

PaddlePaddle/models 6 Nov 2019

This work presents Contextualized Knowledge Graph Embedding (CoKE), a novel paradigm that takes into account such contextual nature, and learns dynamic, flexible, and fully contextualized entity and relation embeddings.

Knowledge Graph Embedding Link Prediction

Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes

Accenture/AmpliGraph 18 May 2021

Numeric values associated to edges of a knowledge graph have been used to represent uncertainty, edge importance, and even out-of-band knowledge in a growing number of scenarios, ranging from genetic data to social networks.

Knowledge Graph Embedding Knowledge Graphs

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

shaoxiongji/awesome-knowledge-graph 2 Feb 2020

In this survey, we provide a comprehensive review of 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.

Knowledge Graph Completion Knowledge Graph Embedding +1

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

DeepGraphLearning/graphvite 2 Mar 2019

In this paper, we propose GraphVite, a high-performance CPU-GPU hybrid system for training node embeddings, by co-optimizing the algorithm and the system.

Dimensionality Reduction Knowledge Graph Embedding +3

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

pykeen/pykeen 28 Jul 2020

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 +1

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

SmartDataAnalytics/PyKEEN 23 Jun 2020

The heterogeneity in recently published knowledge graph embedding models' implementations, training, and evaluation has made fair and thorough comparisons difficult.

Knowledge Graph Embedding

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

pykeen/pykeen 28 Jan 2020

Therefore, we present the KEEN Universe, an ecosystem for knowledge graph embeddings that we have developed with a strong focus on reproducibility and transferability.

Fact Checking Knowledge Graph Embedding +3

LibKGE - A knowledge graph embedding library for reproducible research

uma-pi1/kge EMNLP 2020

LibKGE ( https://github. com/uma-pi1/kge ) is an open-source PyTorch-based library for training, hyperparameter optimization, and evaluation of knowledge graph embedding models for link prediction.

Hyperparameter Optimization Knowledge Graph Embedding +1