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Croppable Knowledge Graph Embedding

Croppable Knowledge Graph Embedding

3 July 2024
Yushan Zhu
Wen Zhang
Zhiqiang Liu
Yin Hua
Lei Liang
H. Chen
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Papers citing "Croppable Knowledge Graph Embedding"

37 / 37 papers shown
Title
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Jiajun Liu
Wenjun Ke
Peng Wang
Ziyu Shang
Jinhua Gao
Guozheng Li
Ke Ji
Yanhe Liu
CLL
44
18
0
07 May 2024
Entity-Agnostic Representation Learning for Parameter-Efficient
  Knowledge Graph Embedding
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
Yin Hua
Wen Zhang
Zhen Yao
Yushan Zhu
Yang Gao
Jeff Z. Pan
Hua-zeng Chen
48
10
0
03 Feb 2023
Feature Structure Distillation with Centered Kernel Alignment in BERT
  Transferring
Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
Heeseung Jung
Doyeon Kim
Seung-Hoon Na
Kangil Kim
44
6
0
01 Apr 2022
Knowledge Perceived Multi-modal Pretraining in E-commerce
Knowledge Perceived Multi-modal Pretraining in E-commerce
Yushan Zhu
Huaixiao Tou
Wen Zhang
Ganqiang Ye
Hui Chen
Ningyu Zhang
Huajun Chen
54
33
0
20 Aug 2021
NodePiece: Compositional and Parameter-Efficient Representations of
  Large Knowledge Graphs
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
57
89
0
23 Jun 2021
BERT Learns to Teach: Knowledge Distillation with Meta Learning
BERT Learns to Teach: Knowledge Distillation with Meta Learning
Wangchunshu Zhou
Canwen Xu
Julian McAuley
70
87
0
08 Jun 2021
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
Wen Zhang
Chi-Man Wong
Ganqiang Ye
Bo Wen
Wei Zhang
Huajun Chen
37
21
0
02 May 2021
BinaryBERT: Pushing the Limit of BERT Quantization
BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai
Wei Zhang
Lu Hou
Lifeng Shang
Jing Jin
Xin Jiang
Qun Liu
Michael Lyu
Irwin King
MQ
190
225
0
31 Dec 2020
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
Linlin Chao
Jianshan He
Taifeng Wang
Wei Chu
50
164
0
07 Nov 2020
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi
Danai Koutra
ELM
63
121
0
16 Sep 2020
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and
  Cheaper Reasoning
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning
Yushan Zhu
Wen Zhang
Yin Hua
Hui Chen
Xu-Xin Cheng
Wei Zhang
Huajun Chen Zhejiang University
49
27
0
13 Sep 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language
  Processing
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Hanrui Wang
Zhanghao Wu
Zhijian Liu
Han Cai
Ligeng Zhu
Chuang Gan
Song Han
88
262
0
28 May 2020
Training with Quantization Noise for Extreme Model Compression
Training with Quantization Noise for Extreme Model Compression
Angela Fan
Pierre Stock
Benjamin Graham
Edouard Grave
Remi Gribonval
Hervé Jégou
Armand Joulin
MQ
84
245
0
15 Apr 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression
  of Pre-Trained Transformers
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang
Furu Wei
Li Dong
Hangbo Bao
Nan Yang
Ming Zhou
VLM
139
1,265
0
25 Feb 2020
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
122
842
0
08 Nov 2019
Patient Knowledge Distillation for BERT Model Compression
Patient Knowledge Distillation for BERT Model Compression
S. Sun
Yu Cheng
Zhe Gan
Jingjing Liu
123
837
0
25 Aug 2019
Relation Embedding with Dihedral Group in Knowledge Graph
Relation Embedding with Dihedral Group in Knowledge Graph
Canran Xu
Ruijiang Li
38
74
0
03 Jun 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
106
1,139
0
23 May 2019
Quaternion Knowledge Graph Embeddings
Quaternion Knowledge Graph Embeddings
Shuai Zhang
Yi Tay
Lina Yao
Qi Liu
79
463
0
23 Apr 2019
Relational Knowledge Distillation
Relational Knowledge Distillation
Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
65
1,412
0
10 Apr 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang
Yao Lu
Linqing Liu
Lili Mou
Olga Vechtomova
Jimmy J. Lin
66
420
0
28 Mar 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex
  Space
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun
Zhihong Deng
Jian-Yun Nie
Jian Tang
105
2,130
0
26 Feb 2019
Improved Knowledge Distillation via Teacher Assistant
Improved Knowledge Distillation via Teacher Assistant
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Ang Li
Nir Levine
Akihiro Matsukawa
H. Ghasemzadeh
92
1,075
0
09 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,154
0
20 Apr 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations
SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau
Douwe Kiela
98
640
0
14 Mar 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi
David Poole
74
714
0
13 Feb 2018
A Novel Embedding Model for Knowledge Base Completion Based on
  Convolutional Neural Network
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
3DV
75
703
0
06 Dec 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
183
2,615
0
05 Jul 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
517
4,476
0
18 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
185
4,815
0
17 Mar 2017
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
88
2,974
0
20 Jun 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
271
8,127
0
16 Jun 2016
Question Answering over Knowledge Base with Neural Attention Combining
  Global Knowledge Information
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information
Yuanzhe Zhang
Kang Liu
Shizhu He
Guoliang Ji
Zhanyi Liu
Hua Wu
Jun Zhao
60
59
0
03 Jun 2016
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
344
19,634
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
93
3,194
0
20 Dec 2014
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