Graph Topology Inference Benchmarks for Machine Learning.
Carlos LassanceVincent GriponGonzalo MateosPublished in: MLSP (2020)
Keyphrases
- machine learning
- machine learning methods
- topological information
- small world
- graph representation
- structured data
- natural language processing
- decision trees
- pattern recognition
- graph databases
- probabilistic inference
- learning tasks
- connected components
- machine learning algorithms
- random walk
- inference process
- learning systems
- graph structure
- learning algorithm
- fully connected
- graph theory
- bipartite graph
- graph partitioning
- probabilistic reasoning
- bayesian inference
- probabilistic model
- belief networks
- text mining
- support vector machine
- artificial intelligence
- computer vision
- clique tree
- markov chain monte carlo
- graph theoretic
- data mining
- directed acyclic graph
- inductive logic programming
- directed graph
- information extraction
- knowledge representation
- computer science
- bayesian networks