Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification.
Yinhua PiaoSangseon LeeDohoon LeeSun KimPublished in: CoRR (2021)
Keyphrases
- document classification
- structure learning
- markov networks
- neural network
- bayesian networks
- graphical models
- text categorization
- markov logic networks
- text classification
- conditional independence
- transfer learning
- web documents
- classification algorithm
- text mining
- parameter estimation
- directed acyclic graph
- machine learning
- text documents
- network structure
- sample size
- knowledge representation
- random variables
- prior knowledge
- belief propagation
- directed graph
- social networks
- search engine
- data mining
- k nearest neighbor
- learning algorithm
- inductive logic programming
- co occurrence
- model selection