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NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph
  Embedding

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

16 December 2018
Yongqi Zhang
Quanming Yao
Yingxia Shao
Lei Chen
    BDL
ArXivPDFHTML

Papers citing "NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding"

19 / 19 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
55
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 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
57
8
0
29 Feb 2024
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang
June Zhang
Igor Molybog
36
4
0
17 May 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
29
4
0
01 Mar 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and
  Adaptively Weighted Negative Samples
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
Jianxiang Yu
Qingqing Ge
Xiang Li
Aoying Zhou
35
7
0
28 Dec 2022
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
33
3
0
12 Oct 2022
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning
Shangfei Zheng
Weiqing Wang
Jianfeng Qu
Hongzhi Yin
Wei Chen
Lei Zhao
LRM
26
22
0
03 Sep 2022
Exploring the Learning Difficulty of Data Theory and Measure
Exploring the Learning Difficulty of Data Theory and Measure
Weiyao Zhu
Ou Wu
Fengguang Su
Yingjun Deng
40
5
0
16 May 2022
Bayesian Negative Sampling for Recommendation
Bayesian Negative Sampling for Recommendation
B. Liu
Bang-wei Wang
BDL
38
9
0
02 Apr 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
Yue Liu
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
44
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
21
89
0
16 Jan 2022
AutoGEL: An Automated Graph Neural Network with Explicit Link
  Information
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhiling Wang
Shimin Di
Lei Chen
GNN
AI4CE
25
39
0
02 Dec 2021
Learning Explicit User Interest Boundary for Recommendation
Learning Explicit User Interest Boundary for Recommendation
Jianhuan Zhuo
Qiannan Zhu
Yinliang Yue
Yuhong Zhao
24
17
0
22 Nov 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge
  Graph Perspective
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
Ola Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
32
94
0
19 Feb 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
66
30
0
14 Feb 2021
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
19
97
0
07 Sep 2020
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