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Knowledge Graph Embedding

43 papers with code · Graphs

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

2 Mar 2019DeepGraphLearning/graphvite

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 LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

2 Feb 2020shaoxiongji/awesome-knowledge-graph

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.

GRAPH REPRESENTATION LEARNING KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING RELATIONAL REASONING

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

ICLR 2019 DeepGraphLearning/KnowledgeGraphEmbedding

We study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links.

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS LINK PREDICTION

CoKE: Contextualized Knowledge Graph Embedding

6 Nov 2019PaddlePaddle/Research

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

Multi-view Knowledge Graph Embedding for Entity Alignment

6 Jun 2019THU-KEG/Entity_Alignment_Papers

Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs.

ENTITY ALIGNMENT KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS

Pykg2vec: A Python Library for Knowledge Graph Embedding

4 Jun 2019Sujit-O/pykg2vec

Python library for knowledge graph embedding and representation learning.

KNOWLEDGE GRAPH EMBEDDING

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.

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS

Composition-based Multi-Relational Graph Convolutional Networks

ICLR 2020 malllabiisc/CompGCN

Multi-relational graphs are a more general and prevalent form of graphs where each edge has a label and direction associated with it.

GRAPH CLASSIFICATION KNOWLEDGE GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION