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Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

20 December 2014
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
    NAI
ArXivPDFHTML

Papers citing "Embedding Entities and Relations for Learning and Inference in Knowledge Bases"

37 / 37 papers shown
Title
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
Abhijit Chakraborty
Chahana Dahal
Ashutosh Balasubramaniam
Tejas Anvekar
Vivek Gupta
10
0
0
25 May 2025
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan
Sihang Zhou
Xiaoshu Chen
Dong Wang
K. Liang
Xinwang Liu
Jian Huang
57
1
0
08 Apr 2025
Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?
Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?
Sougata Saha
Saurabh Kumar Pandey
Harshit Gupta
Monojit Choudhury
94
0
0
21 Feb 2025
K-ON: Stacking Knowledge On the Head Layer of Large Language Model
K-ON: Stacking Knowledge On the Head Layer of Large Language Model
Lingbing Guo
Yanzhe Zhang
Zhongpu Bo
Zhuo Chen
Mengshu Sun
Qing Cui
Wen Zhang
Ningyu Zhang
137
0
0
10 Feb 2025
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
132
1
0
28 Jan 2025
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts
Haodi Ma
Dzmitry Kasinets
Daisy Zhe Wang
77
0
0
28 Jan 2025
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
Guanglin Niu
Xiaowei Zhang
52
0
0
28 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
109
20
0
17 Jan 2025
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
Yuhe Bai
56
1
0
08 Jan 2025
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Qiyuan He
Jianfei Yu
Wenya Wang
LRM
63
0
0
03 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
101
4
0
31 Dec 2024
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
Qiao Qiao
Yuepei Li
Qing Wang
Kang Zhou
Qi Li
62
0
0
11 Nov 2024
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
Laura Cabello
Carmen Martin-Turrero
Uchenna Akujuobi
Anders Søgaard
Carlos Bobed
AI4MH
234
1
0
06 Nov 2024
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Guanglin Niu
78
0
0
16 Oct 2024
MARS: A neurosymbolic approach for interpretable drug discovery
MARS: A neurosymbolic approach for interpretable drug discovery
L. Delong
Yojana Gadiya
Paola Galdi
Jacques D. Fleuriot
Daniel Domingo-Fernández
338
2
0
02 Oct 2024
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Sharmishtha Dutta
Alex Gittens
Mohammed J Zaki
Charu C. Aggarwal
42
0
0
01 Oct 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
96
3
0
01 Jul 2024
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
Robert Hoehndorf
Yuan He
Ian Horrocks
74
6
0
16 Jun 2024
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Ying Ma
Owen Burns
Mingqiu Wang
Gang Li
Nan Du
Laurent El Shafey
Liqiang Wang
Izhak Shafran
H. Soltau
SSL
ReLM
OffRL
LRM
86
0
0
22 May 2024
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Jinchuan Zhang
Bei Hui
Chong Mu
Ming Sun
Quanjiang Guo
Ling Tian
83
1
0
17 May 2024
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
Keyu Wang
Guilin Qi
Jiaoyan Chen
Yi Huang
Tianxing Wu
85
1
0
20 Jan 2024
Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
Yuxia Geng
Jiaoyan Chen
Yuhang Zeng
Zhuo Chen
Wen Zhang
Jeff Z. Pan
Yuxiang Wang
Xiaoliang Xu
74
2
0
04 Dec 2023
Location Sensitive Embedding for Knowledge Graph Reasoning
Location Sensitive Embedding for Knowledge Graph Reasoning
Deepak Banerjee
Anjali Ishaan
KELM
74
0
0
01 Dec 2023
On the Evolution of Knowledge Graphs: A Survey and Perspective
On the Evolution of Knowledge Graphs: A Survey and Perspective
Xuhui Jiang
Chengjin Xu
Yinghan Shen
Xun Sun
Lumingyuan Tang
Saizhuo Wang
Zhongwu Chen
Yuanzhuo Wang
Jian Guo
70
8
0
07 Oct 2023
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
Haotian Li
Lingzhi Wang
Yuliang Wei
Richard Y. D. Xu
Bailing Wang
Bailing Wang
73
2
0
26 Sep 2023
Exploring Large Language Models for Knowledge Graph Completion
Exploring Large Language Models for Knowledge Graph Completion
Liang Yao
Jiazhen Peng
Chengsheng Mao
Yuan Luo
57
38
0
26 Aug 2023
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
52
4
0
01 Jun 2021
Knowledge Embedding Based Graph Convolutional Network
Knowledge Embedding Based Graph Convolutional Network
Donghan Yu
Yiming Yang
Ruohong Zhang
Yuexin Wu
GNN
51
11
0
12 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
  Link Prediction
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek
Dong Bok Lee
Sung Ju Hwang
65
88
0
11 Jun 2020
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
36
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
39
340
0
01 Nov 2019
A Survey on Knowledge Graph Embeddings with Literals: Which model links
  better Literal-ly?
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
Genet Asefa Gesese
Russa Biswas
Mehwish Alam
Harald Sack
75
82
0
28 Oct 2019
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo
Quan Wang
Lihong Wang
Bin Wang
Li Guo
52
218
0
30 Nov 2017
Can recursive neural tensor networks learn logical reasoning?
Can recursive neural tensor networks learn logical reasoning?
Samuel R. Bowman
NAI
26
44
0
21 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
264
33,445
0
16 Oct 2013
Towards a Formal Distributional Semantics: Simulating Logical Calculi
  with Tensors
Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
Edward Grefenstette
CoGe
51
102
0
22 Apr 2013
A Semantic Matching Energy Function for Learning with Multi-relational
  Data
A Semantic Matching Energy Function for Learning with Multi-relational Data
Xavier Glorot
Antoine Bordes
Jason Weston
Yoshua Bengio
72
689
0
15 Jan 2013
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