HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification.
Rahul RageshSundararajan SellamanickamArun IyerRamakrishna BairiVijay LingamPublished in: CoRR (2020)
Keyphrases
- text classification
- heterogeneous networks
- bag of words
- average degree
- edge weights
- text categorization
- fully connected
- n gram
- graph structure
- small world
- random walk
- machine learning
- social networks
- graph structures
- directed edges
- community discovery
- graph representation
- network analysis
- feature selection
- text mining
- betweenness centrality
- overlapping communities
- connected components
- multi label
- structured data
- protein interaction networks
- weighted graph
- spanning tree
- bipartite graph
- network structure
- complex networks
- labeled data
- markov random field
- graph mining
- directed acyclic graph
- graph layout