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KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning

KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning

5 May 2022
Yongqi Zhang
Zhanke Zhou
Quanming Yao
Yong Li
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Papers citing "KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning"

4 / 4 papers shown
Title
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs
  through Efficient Communication Channel
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li
Zhanke Zhou
Jiangchao Yao
Yu Rong
Lu Zhang
Bo Han
53
3
0
02 Nov 2023
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale
  Knowledge Graph Embeddings
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
Adrian Kochsiek
Fritz Niesel
Rainer Gemulla
28
3
0
11 Jul 2022
BORE: Bayesian Optimization by Density-Ratio Estimation
BORE: Bayesian Optimization by Density-Ratio Estimation
Louis C. Tiao
Aaron Klein
Matthias Seeger
Edwin V. Bonilla
Cédric Archambeau
F. Ramos
45
26
0
17 Feb 2021
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
212
1,944
0
02 Feb 2020
1