InducT-GCN: Inductive Graph Convolutional Networks for Text Classification.
Kunze WangSoyeon Caren HanJosiah PoonPublished in: ICPR (2022)
Keyphrases
- text classification
- machine learning
- social networks
- text categorization
- graph theory
- bag of words
- fully connected
- average degree
- graph structures
- inductive learning
- weighted graph
- community discovery
- small world
- edge weights
- graph representation
- random walk
- bipartite graph
- n gram
- text mining
- network size
- complex networks
- labeled data
- deep learning
- semantic features
- knn
- clustering coefficient
- betweenness centrality
- graph structure
- structured data
- feature selection
- knowledge discovery
- graph layout
- random graphs
- text classifiers
- graph databases
- graph model
- graph mining
- directed acyclic graph
- network analysis
- neural network
- network structure
- directed graph