HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification.
Rahul RageshSundararajan SellamanickamArun IyerRamakrishna BairiVijay LingamPublished in: WSDM (2021)
Keyphrases
- text classification
- heterogeneous networks
- average degree
- graph theory
- graph structures
- data cleaning
- feature selection
- directed graph
- small world
- unsupervised learning
- text categorization
- graph representation
- weighted graph
- machine learning
- complex networks
- fully connected
- graph structure
- bag of words
- text mining
- random walk
- labeled data
- n gram
- directed acyclic graph
- community detection
- multi label
- random graphs
- network size
- semantic features
- deep learning
- knowledge discovery
- data analysis
- community discovery
- overlapping communities
- social networks