TransE

Introduced by Bordes et al. in Translating Embeddings for Modeling Multi-relational Data

TransE is an energy-based model that produces knowledge base embeddings. It models relationships by interpreting them as translations operating on the low-dimensional embeddings of the entities. Relationships are represented as translations in the embedding space: if $\left(h, \mathcal{l}, t\right)$ holds, the embedding of the tail entity $t$ should be close to the embedding of the head entity $h$ plus some vector that depends on the relationship $\mathcal{l}$.

Source: Translating Embeddings for Modeling Multi-relational Data

Latest Papers

PAPER DATE
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
Ruwan WickramarachchiCory HensonAmit Sheth
2020-02-29
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding
Anonymous
2020-01-01
Integrating Graph Contextualized Knowledge into Pre-trained Language Models
Bin HeDi ZhouJinghui XiaoXin jiangQun LiuNicholas Jing YuanTong Xu
2019-11-30
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
Yun TangJing HuangGuangtao WangXiaodong HeBowen Zhou
2019-11-09
Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment
Xiaofei ShiYanghua Xiao
2019-11-01
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
| Chengjiang LiYixin CaoLei HouJiaxin ShiJuanzi LiTat-Seng Chua
2019-11-01
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling CaiBo YanGengchen MaiKrzysztof JanowiczRui Zhu
2019-10-01
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding
Mojtaba NayyeriChengjin XuYadollah YaghoobzadehHamed Shariat YazdiJens Lehmann
2019-09-02
Modeling Paths for Explainable Knowledge Base Completion
Josua StadelmaierSebastian Pad{\'o}
2019-08-01
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
Mojtaba NayyeriXiaotian ZhouSahar VahdatiHamed Shariat YazdiJens Lehmann
2019-07-09
Probabilistic Logic Neural Networks for Reasoning
| Meng QuJian Tang
2019-06-20
An Open-World Extension to Knowledge Graph Completion Models
| Haseeb ShahJohannes VillmowAdrian UlgesUlrich SchwaneckeFaisal Shafait
2019-06-19
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space
Atsushi SuzukiYosuke EnokidaKenji Yamanishi
2019-05-01
Soft Marginal TransE for Scholarly Knowledge Graph Completion
Mojtaba NayyeriSahar VahdatiJens LehmannHamed Shariat Yazdi
2019-04-27
Logic Rules Powered Knowledge Graph Embedding
Pengwei WangDejing DouFangzhao WuNisansa de SilvaLianwen Jin
2019-03-09
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
| Chao ShangYun TangJing HuangJinbo BiXiaodong HeBowen Zhou
2018-11-11
Knowledge Graph Embedding with Hierarchical Relation Structure
Zhao ZhangFuzhen ZhuangMeng QuFen LinQing He
2018-10-01
Understanding Actors and Evaluating Personae with Gaussian Embeddings
Hannah KimDenys KaterenchukDaniel BilletJun HuanHaesun ParkBoyang Li
2018-04-06
Revisiting Knowledge Base Embedding as Tensor Decomposition
Jiezhong QiuHao MaYuxiao DongKuansan WangJie Tang
2018-01-01
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma EbisuRyutaro Ichise
2017-11-15
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
| Liwei CaiWilliam Yang Wang
2017-11-11
Convolutional Neural Knowledge Graph Learning
Feipeng ZhaoMartin Renqiang MinChen ShenAmit Chakraborty
2017-10-23
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
| Bhushan KotnisVivi Nastase
2017-08-22
Efficient Parallel Translating Embedding For Knowledge Graphs
| Denghui ZhangManling LiYantao JiaYuanzhuo WangXueqi Cheng
2017-03-30
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
Muhao ChenYingtao TianMohan YangCarlo Zaniolo
2016-11-12
STransE: a novel embedding model of entities and relationships in knowledge bases
| Dat Quoc NguyenKairit SirtsLizhen QuMark Johnson
2016-06-27
Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc NguyenKairit SirtsLizhen QuMark Johnson
2016-06-21
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
Teng LongRyan LoweJackie Chi Kit CheungDoina Precup
2016-05-18
Locally Adaptive Translation for Knowledge Graph Embedding
Yantao JiaYuanzhuo WangHailun LinXiaolong JinXueqi Cheng
2015-12-04
Knowlege Graph Embedding by Flexible Translation
Jun FengMantong ZhouYu HaoMinlie HuangXiaoyan Zhu
2015-05-20
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
| Bishan YangWen-tau YihXiaodong HeJianfeng GaoLi Deng
2014-12-20
Translating Embeddings for Modeling Multi-relational Data
| Antoine BordesNicolas UsunierAlberto Garcia-DuranJason WestonOksana Yakhnenko
2013-12-01

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