InducT-GCN: Inductive Graph Convolutional Networks for Text Classification.
Kunze WangSoyeon Caren HanJosiah PoonPublished in: CoRR (2022)
Keyphrases
- text classification
- machine learning
- average degree
- multi label
- bag of words
- complex networks
- small world
- edge weights
- random walk
- graph theory
- text classifiers
- graph representation
- social networks
- knowledge representation
- fully connected
- degree distribution
- inductive learning
- feature selection
- graph structures
- graph layout
- n gram
- labeled data
- betweenness centrality
- overlapping communities
- connected components
- citation networks
- weighted graph
- text mining
- directed acyclic graph
- graph model
- undirected graph
- structured data
- directed edges
- biological networks
- network analysis
- graph structure
- data mining
- bipartite graph
- directed graph
- knn
- language model
- text categorization