Graph topology inference benchmarks for machine learning.
Carlos LassanceVincent GriponGonzalo MateosPublished in: CoRR (2020)
Keyphrases
- machine learning
- graph representation
- pattern recognition
- machine learning methods
- small world
- decision trees
- probabilistic inference
- graph theory
- clique tree
- fully connected
- graph structure
- directed graph
- topological information
- graph model
- structured data
- graph theoretic
- random walk
- bayesian networks
- explanation based learning
- data mining
- directed acyclic graph
- natural language processing
- graph databases
- feature selection
- inference process
- weighted graph
- computer vision
- knowledge acquisition
- belief networks
- inductive logic programming
- learning algorithm
- learning systems
- benchmark suite
- artificial intelligence
- computer science
- graph mining
- supervised learning
- connected components
- complex networks
- semi supervised learning