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KBGAN: Adversarial Learning for Knowledge Graph Embeddings

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

11 November 2017
Liwei Cai
William Yang Wang
    GAN
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Papers citing "KBGAN: Adversarial Learning for Knowledge Graph Embeddings"

43 / 43 papers shown
Title
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie
Yiran Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
74
3
0
12 Feb 2025
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
68
3
0
01 Jul 2024
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph
  Completion
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Wen Zhang
Yajing Xu
Peng Ye
Zhiwei Huang
Zezhong Xu
Jiaoyan Chen
Jeff Z. Pan
Huajun Chen
29
1
0
26 Jun 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark J. Coates
CLL
48
1
0
06 Mar 2024
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
Unleashing the Power of Imbalanced Modality Information for Multi-modal
  Knowledge Graph Completion
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
Yichi Zhang
Zhuo Chen
Lei Liang
Hua-zeng Chen
Wen Zhang
56
4
0
22 Feb 2024
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge
  Graph Completion
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
Wenbin Guo
Zhao Li
Xin Wang
Zirui Chen
GNN
21
0
0
11 Dec 2023
Fast Knowledge Graph Completion using Graphics Processing Units
Fast Knowledge Graph Completion using Graphics Processing Units
Chun-Hee Lee
Dong-oh Kang
Hwa Jeon Song
17
1
0
22 Jul 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang
June Zhang
Igor Molybog
26
4
0
17 May 2023
Joint embedding in Hierarchical distance and semantic representation
  learning for link prediction
Joint embedding in Hierarchical distance and semantic representation learning for link prediction
Jin Liu
Jianye Chen
Chongfeng Fan
Feng Zhou
15
0
0
28 Mar 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng
Feng Xia
Mehdi Naseriparsa
Francesco Osborne
22
242
0
24 Mar 2023
Treat Different Negatives Differently: Enriching Loss Functions with
  Domain and Range Constraints for Link Prediction
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
Nicolas Hubert
Pierre Monnin
Armelle Brun
D. Monticolo
17
4
0
01 Mar 2023
Entity Aware Negative Sampling with Auxiliary Loss of False Negative
  Prediction for Knowledge Graph Embedding
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding
Sang-hyun Je
27
3
0
12 Oct 2022
Generating Negative Samples for Sequential Recommendation
Generating Negative Samples for Sequential Recommendation
Yong-Guang Chen
Jia Li
Zhiwei Liu
N. Keskar
Haiquan Wang
Julian McAuley
Caiming Xiong
35
4
0
07 Aug 2022
Reinforcement learning on graphs: A survey
Reinforcement learning on graphs: A survey
Mingshuo Nie
Dongming Chen
Dongqi Wang
39
45
0
13 Apr 2022
Description Logic EL++ Embeddings with Intersectional Closure
Description Logic EL++ Embeddings with Intersectional Closure
X. Peng
Zhenwei Tang
Maxat Kulmanov
Kexin Niu
Robert Hoehndorf
25
18
0
28 Feb 2022
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge
  Graph Completion
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
Guanglin Niu
Bo-wen Li
Yongfei Zhang
Shi Pu
33
43
0
25 Feb 2022
MixKG: Mixing for harder negative samples in knowledge graph
MixKG: Mixing for harder negative samples in knowledge graph
Feihu Che
Guohua Yang
Pengpeng Shao
Dawei Zhang
J. Tao
34
6
0
19 Feb 2022
Temporal Knowledge Graph Completion: A Survey
Temporal Knowledge Graph Completion: A Survey
Borui Cai
Yong Xiang
Longxiang Gao
Heng Zhang
Yunfeng Li
Jianxin Li
19
89
0
16 Jan 2022
Scaling Knowledge Graph Embedding Models
Scaling Knowledge Graph Embedding Models
Nasrullah Sheikh
Xiao Qin
B. Reinwald
Chuan Lei
39
5
0
08 Jan 2022
KGBoost: A Classification-based Knowledge Base Completion Method with
  Negative Sampling
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Yun Cheng Wang
Xiou Ge
Bin Wang
C.-C. Jay Kuo
18
10
0
17 Dec 2021
Pairwise Learning for Neural Link Prediction
Pairwise Learning for Neural Link Prediction
Zhitao Wang
Yong Zhou
L. Jeff Hong
Yuanhang Zou
Hanjing Su
Shouzhi Chen
20
26
0
06 Dec 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
148
20
0
11 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance
  Attribution Methods
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
16
20
0
04 Nov 2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial
  Training
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training
Xiao Qin
Nasrullah Sheikh
B. Reinwald
Lingfei Wu
61
30
0
14 Feb 2021
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph
  Completion
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion
Hao Huang
Guodong Long
Tao Shen
Jing Jiang
Chengqi Zhang
23
9
0
10 Oct 2020
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi
Danai Koutra
ELM
26
114
0
16 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
16
97
0
07 Sep 2020
Convolutional Complex Knowledge Graph Embeddings
Convolutional Complex Knowledge Graph Embeddings
Caglar Demir
A. N. Ngomo
27
44
0
07 Aug 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
50
1,586
0
15 Jun 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation
  Learning
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
Tao Shen
Yi Mao
Pengcheng He
Guodong Long
Adam Trischler
Weizhu Chen
15
63
0
29 Apr 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge
  Graphs
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun
Qingheng Zhang
Wei Hu
Chengming Wang
Muhao Chen
F. Akrami
Chengkai Li
24
242
0
10 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
Probability Calibration for Knowledge Graph Embedding Models
Probability Calibration for Knowledge Graph Embedding Models
Pedro Tabacof
Luca Costabello
8
45
0
20 Dec 2019
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Ningyu Zhang
Shumin Deng
Zhanlin Sun
Jiaoayan Chen
Wei Zhang
Huajun Chen
15
71
0
08 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
22
815
0
08 Nov 2019
Regularized Adversarial Sampling and Deep Time-aware Attention for
  Click-Through Rate Prediction
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Yikai Wang
Liang Zhang
Quanyu Dai
F. Sun
Bo Zhang
Yang He
Weipeng P. Yan
Yongjun Bao
OOD
18
13
0
03 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
10
336
0
01 Nov 2019
Composing Knowledge Graph Embeddings via Word Embeddings
Composing Knowledge Graph Embeddings via Word Embeddings
Lianbo Ma
Peng Sun
Zhiwei Lin
Hui Wang
CoGe
33
10
0
09 Sep 2019
Populating Web Scale Knowledge Graphs using Distantly Supervised
  Relation Extraction and Validation
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation
Sarthak Dash
Michael R. Glass
A. Gliozzo
Mustafa Canim
23
3
0
21 Aug 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
32
2,084
0
26 Feb 2019
Automatic Detection of Vague Words and Sentences in Privacy Policies
Automatic Detection of Vague Words and Sentences in Privacy Policies
Logan Lebanoff
Fei Liu
EgoV
23
40
0
19 Aug 2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion
  and Search Personalization
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen
Thanh Tien Vu
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
3DPC
KELM
27
231
0
13 Aug 2018
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