TextRGNN: Residual Graph Neural Networks for Text Classification.
Jiayuan ChenBoyu ZhangYinfei XuMeng WangPublished in: CoRR (2021)
Keyphrases
- text classification
- neural network
- pattern recognition
- graph theory
- feature selection
- multi label
- text categorization
- graph structure
- knn
- text mining
- n gram
- machine learning
- text data
- structured data
- random walk
- artificial neural networks
- labeled data
- multilayer perceptron
- data cleaning
- text classifiers
- graph representation
- graph model
- directed acyclic graph
- weighted graph
- sentiment analysis
- directed graph
- bag of words
- fuzzy logic
- naive bayes
- unlabeled data
- information theoretic
- neural nets
- back propagation
- graph theoretic
- connected components
- recurrent neural networks
- bayesian networks
- decision trees
- image classification
- spanning tree