What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan HuangSiqi MiaoPan LiPublished in: CoRR (2024)
Keyphrases
- machine learning
- state space
- machine learning algorithms
- model selection
- machine learning approaches
- learning models
- reinforcement learning
- pattern recognition
- learning tasks
- machine learning methods
- statistical models
- learning algorithm
- learning problems
- statistical methods
- decision trees
- dynamical systems
- computational intelligence
- probabilistic model
- directed graph
- data analysis
- computer science
- computational models
- feature selection
- predictive model
- data driven approaches