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Learning Multi-Relational Semantics Using Neural-Embedding Models

Learning Multi-Relational Semantics Using Neural-Embedding Models

14 November 2014
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
    NAI
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Papers citing "Learning Multi-Relational Semantics Using Neural-Embedding Models"

9 / 9 papers shown
Title
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection
  innoisy Knowledge Graphs
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs
K. Bougiatiotis
R. Fasoulis
F. Aisopos
A. Nentidis
George Giannakopoulos
21
4
0
19 Feb 2020
Data Poisoning Attack against Knowledge Graph Embedding
Data Poisoning Attack against Knowledge Graph Embedding
Hengtong Zhang
T. Zheng
Jing Gao
Chenglin Miao
Lu Su
Yaliang Li
K. Ren
KELM
18
81
0
26 Apr 2019
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Alberto García-Durán
Sebastijan Dumancic
Mathias Niepert
198
400
0
10 Sep 2018
KBLRN : End-to-End Learning of Knowledge Base Representations with
  Latent, Relational, and Numerical Features
KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features
Alberto García-Durán
Mathias Niepert
BDL
11
104
0
14 Sep 2017
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
Daniel Oñoro-Rubio
Mathias Niepert
Alberto García-Durán
Roberto Gonzalez
Roberto J. López-Sastre
27
15
0
07 Sep 2017
Semantic Preserving Embeddings for Generalized Graphs
Semantic Preserving Embeddings for Generalized Graphs
Pedro Almagro Blanco
Fernando Sancho-Caparrini
21
0
0
07 Sep 2017
Words or Characters? Fine-grained Gating for Reading Comprehension
Words or Characters? Fine-grained Gating for Reading Comprehension
Zhilin Yang
Bhuwan Dhingra
Ye Yuan
Junjie Hu
William W. Cohen
Ruslan Salakhutdinov
AI4CE
27
100
0
06 Nov 2016
Gated-Attention Readers for Text Comprehension
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra
Hanxiao Liu
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
19
416
0
05 Jun 2016
Combining Two And Three-Way Embeddings Models for Link Prediction in
  Knowledge Bases
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Alberto García-Durán
Antoine Bordes
Nicolas Usunier
Yves Grandvalet
18
63
0
02 Jun 2015
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