Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks?
Margarita BugueñoGerard de MeloPublished in: CoRR (2023)
Keyphrases
- text classification
- neural network
- text data
- text documents
- text mining
- graph construction
- graph model
- knn
- text classifiers
- graph based algorithm
- graph theoretic
- label propagation
- k nearest neighbor
- text categorization
- labeled data
- feature selection
- training corpus
- graph theoretical
- graph representation
- graph based semi supervised learning
- bag of words
- pattern recognition
- graph theory
- machine learning
- artificial neural networks
- semantic representations
- multi label
- random walk
- information retrieval
- naive bayes
- graph connectivity
- graph structure
- weighted graph
- graph representations
- genetic algorithm
- automatic text classification
- protein function prediction
- data cleaning
- bipartite graph
- sentiment analysis
- directed graph
- semi supervised
- semantic features
- vector representation
- connected components
- fuzzy logic
- keywords
- black and white
- back propagation
- semi supervised learning
- knowledge discovery