Explaining the Power of Topological Data Analysis in Graph Machine Learning.
Funmilola Mary TaiwoUmar IslambekovCuneyt Gurcan AkcoraPublished in: CoRR (2024)
Keyphrases
- machine learning
- data analysis
- connected components
- data mining
- graph theory
- learning algorithm
- pattern recognition
- machine learning methods
- graph representation
- topological map
- directed graph
- power consumption
- data collection
- graph model
- knowledge discovery
- text mining
- data processing
- machine learning algorithms
- structured data
- feature selection
- spanning tree
- graph structure
- explanation based learning
- graph matching
- robot navigation
- graph theoretic
- topological information
- semi supervised learning
- random walk
- computational intelligence
- natural language processing
- information extraction
- support vector machine
- decision trees
- artificial intelligence
- rough sets
- weighted graph
- directed acyclic graph
- knowledge representation
- active learning
- computer science
- life sciences
- closure operator