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TransG : A Generative Mixture Model for Knowledge Graph Embedding

TransG : A Generative Mixture Model for Knowledge Graph Embedding

18 September 2015
Han Xiao
Minlie Huang
Yu Hao
Xiaoyan Zhu
ArXivPDFHTML

Papers citing "TransG : A Generative Mixture Model for Knowledge Graph Embedding"

21 / 21 papers shown
Title
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Yuqicheng Zhu
Nico Potyka
Jiarong Pan
Bo Xiong
Yunjie He
Evgeny Kharlamov
Steffen Staab
56
0
0
28 Jan 2025
Negative Sampling in Knowledge Graph Representation Learning: A Review
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka
R. Ichise
52
8
0
29 Feb 2024
Contextualization Distillation from Large Language Model for Knowledge
  Graph Completion
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
Dawei Li
Zhen Tan
Tianlong Chen
Huan Liu
KELM
25
12
0
28 Jan 2024
Exploring Large Language Models for Knowledge Graph Completion
Exploring Large Language Models for Knowledge Graph Completion
Liang Yao
Jiazhen Peng
Chengsheng Mao
Yuan Luo
29
38
0
26 Aug 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models
How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte
Nicola Di Mauro
Robert Peharz
Antonio Vergari
20
16
0
25 May 2023
Geometric Relational Embeddings: A Survey
Geometric Relational Embeddings: A Survey
Bo Xiong
M. Nayyeri
Ming Jin
Yunjie He
Michael Cochez
Shirui Pan
Steffen Staab
40
7
0
24 Apr 2023
Discovering Fine-Grained Semantics in Knowledge Graph Relations
Discovering Fine-Grained Semantics in Knowledge Graph Relations
Nitisha Jain
Ralf Krestel
11
0
0
17 Feb 2022
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity
  Recognition using Transformers
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers
Avi Chawla
Nidhi Mulay
Vikas Bishnoi
Gaurav Dhama
ViT
19
2
0
30 Nov 2021
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Saiping Guan
Xiaolong Jin
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
31
27
0
21 Apr 2021
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Feiliang Ren
Jucheng Li
Huihui Zhang
Shilei Liu
Bochao Li
Ruicheng Ming
Yujia Bai
19
34
0
23 Oct 2020
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren
J. Leskovec
BDL
23
206
0
22 Oct 2020
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi
Danai Koutra
ELM
23
114
0
16 Sep 2020
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Guanglin Niu
Yongfei Zhang
Bo-wen Li
Peng Cui
Si Liu
Jingyang Li
Xiaowei Zhang
13
58
0
20 Nov 2019
A Re-evaluation of Knowledge Graph Completion Methods
A Re-evaluation of Knowledge Graph Completion Methods
Zhiqing Sun
Shikhar Vashishth
Soumya Sanyal
Partha P. Talukdar
Yiming Yang
17
168
0
10 Nov 2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by
  Increasing Feature Interactions
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Nilesh Agrawal
Partha P. Talukdar
8
336
0
01 Nov 2019
A Relational Memory-based Embedding Model for Triple Classification and
  Search Personalization
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
D. Q. Nguyen
T. Nguyen
Dinh Q. Phung
KELM
27
22
0
13 Jul 2019
Improving Knowledge Graph Embedding Using Simple Constraints
Improving Knowledge Graph Embedding Using Simple Constraints
Boyang Ding
Quan Wang
Bin Wang
Li Guo
22
132
0
07 May 2018
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
38
1,780
0
22 Sep 2017
KSR: A Semantic Representation of Knowledge Graph within a Novel
  Unsupervised Paradigm
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm
Han Xiao
Minlie Huang
Xiaoyan Zhu
23
6
0
27 Aug 2016
Neighborhood Mixture Model for Knowledge Base Completion
Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc Nguyen
Kairit Sirts
Lizhen Qu
Mark Johnson
27
42
0
21 Jun 2016
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text
  Descriptions
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Han Xiao
Minlie Huang
Xiaoyan Zhu
16
187
0
17 Apr 2016
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