Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks.
Parisa KordjamshidiSameer SinghDaniel KhashabiChristos ChristodoulopoulosMark SammonsSaurabh SinhaDan RothPublished in: CoRR (2017)
Keyphrases
- relational learning
- heterogeneous information networks
- feature extraction
- inductive logic programming
- heterogeneous networks
- relational data
- information networks
- information extraction
- databases
- multiple types
- feature vectors
- data objects
- query language
- learning problems
- image classification
- gaussian processes
- network analysis
- phase transition
- machine learning
- feature selection
- learning algorithm
- feature space
- information retrieval
- topic models
- real world
- high dimensional
- database
- learning tasks
- background knowledge
- co occurrence
- relational databases