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CoKE: Contextualized Knowledge Graph Embedding

CoKE: Contextualized Knowledge Graph Embedding

6 November 2019
Quan Wang
Pingping Huang
Haifeng Wang
Songtai Dai
Wenbin Jiang
Jing Liu
Yajuan Lyu
Yong Zhu
Hua-Hong Wu
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Papers citing "CoKE: Contextualized Knowledge Graph Embedding"

13 / 13 papers shown
Title
Random Entity Quantization for Parameter-Efficient Compositional
  Knowledge Graph Representation
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
Jiaang Li
Quan Wang
Yi Liu
L. Zhang
Zhendong Mao
27
0
0
24 Oct 2023
Efficient Learning of Discrete-Continuous Computation Graphs
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede
Mathias Niepert
13
3
0
26 Jul 2023
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph
  Completion
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
Jining Wang
Chuan Chen
Zibin Zheng
Yuren Zhou
28
1
0
17 Jun 2023
ReInform: Selecting paths with reinforcement learning for contextualized
  link prediction
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
M. Speranskaya
Sameh Methias
Benjamin Roth
KELM
LRM
19
0
0
19 Nov 2022
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop
  Subgraph
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
Hongzhu Li
Xiang Gao
Linhui Feng
Yafeng Deng
Yuhui Yin
16
2
0
27 May 2022
Learning Relation-Specific Representations for Few-shot Knowledge Graph
  Completion
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion
Yuling Li
Kui Yu
Yuhong Zhang
Xindong Wu
15
3
0
22 Mar 2022
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for
  Link Prediction
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
Peyman Baghershahi
Reshad Hosseini
H. Moradi
26
52
0
20 Dec 2021
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
14
2
0
30 Nov 2021
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Quan Wang
Haifeng Wang
Yajuan Lyu
Yong Zhu
24
44
0
18 May 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
8
34
0
23 Oct 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Jiawei Sheng
Shu Guo
Zhenyu Chen
Juwei Yue
Lihong Wang
Tingwen Liu
Hongbo Xu
99
114
0
19 Oct 2020
CoLAKE: Contextualized Language and Knowledge Embedding
CoLAKE: Contextualized Language and Knowledge Embedding
Tianxiang Sun
Yunfan Shao
Xipeng Qiu
Qipeng Guo
Yaru Hu
Xuanjing Huang
Zheng-Wei Zhang
KELM
18
181
0
01 Oct 2020
Message Passing for Hyper-Relational Knowledge Graphs
Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin
Priyansh Trivedi
Gaurav Maheshwari
Ricardo Usbeck
Jens Lehmann
27
113
0
22 Sep 2020
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