Revisiting Embedding Based Graph Analyses: Hyperparameters Matter!
Dingqi YangBingqing QuRana HusseinPaolo RossoPhilippe Cudré-MaurouxJie LiuPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- hyperparameters
- model selection
- cross validation
- bayesian inference
- closed form
- support vector
- bayesian framework
- random sampling
- gaussian process
- prior information
- incremental learning
- sample size
- maximum a posteriori
- em algorithm
- gaussian processes
- incomplete data
- maximum likelihood
- regularization parameter
- noise level
- missing values
- parameter settings
- data mining
- grid search
- signal to noise ratio
- input data
- markov random field
- probabilistic model
- prior knowledge
- bayesian networks