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Incorporating GAN for Negative Sampling in Knowledge Representation
  Learning

Incorporating GAN for Negative Sampling in Knowledge Representation Learning

23 September 2018
Peifeng Wang
Shuangyin Li
Rong Pan
    GAN
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Papers citing "Incorporating GAN for Negative Sampling in Knowledge Representation Learning"

16 / 16 papers shown
Title
Exploiting Preferences in Loss Functions for Sequential Recommendation
  via Weak Transitivity
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
H. Chung
Jungtaek Kim
Hyungeun Jo
Hyungwon Choi
52
0
0
01 Aug 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
58
4
0
22 Feb 2024
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
22
1
0
22 Jul 2023
Leveraging Wikidata's edit history in knowledge graph refinement tasks
Leveraging Wikidata's edit history in knowledge graph refinement tasks
A. Hevia
Daniel Gayo-Avello
KELM
28
2
0
27 Oct 2022
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
30
3
0
12 Oct 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
39
6
0
19 Feb 2022
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Ainaz Hajimoradlou
Seyed Mehran Kazemi
25
9
0
07 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
21
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
Unsupervised Path Representation Learning with Curriculum Negative
  Sampling
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang
Chenjuan Guo
Jilin Hu
Jiangtao Tang
Bin Yang
SSL
24
48
0
17 Jun 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
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
52
1,587
0
15 Jun 2020
Composing Knowledge Graph Embeddings via Word Embeddings
Composing Knowledge Graph Embeddings via Word Embeddings
Lianbo Ma
Peng Sun
Zhiwei Lin
Hui Wang
CoGe
36
10
0
09 Sep 2019
Image-embodied Knowledge Representation Learning
Image-embodied Knowledge Representation Learning
Ruobing Xie
Zhiyuan Liu
Huanbo Luan
Maosong Sun
122
211
0
22 Sep 2016
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