Enforcing exact physics in scientific machine learning: a data-driven exterior calculus on graphs.
Nathaniel TraskAndy HuangXiaozhe HuPublished in: CoRR (2020)
Keyphrases
- data driven
- machine learning
- artificial intelligence
- computer science
- data mining
- decision trees
- graph matching
- pattern recognition
- learning algorithm
- machine learning methods
- machine learning algorithms
- knowledge acquisition
- model selection
- graph theoretic
- bipartite graph
- kernel methods
- computational intelligence
- natural language processing
- support vector machine
- text mining
- learning systems
- supervised learning
- learning tasks
- semi supervised
- information extraction
- graph theory
- graph structure
- graph mining
- graph model
- exact solution
- graph clustering
- scientific discovery