Scaling R-GCN Training with Graph Summarization.
Alessandro GeneraleTill BlumeMichael CochezPublished in: WWW (Companion Volume) (2022)
Keyphrases
- graph representation
- training set
- graph theory
- supervised learning
- natural language processing
- connected components
- mutual reinforcement
- graph model
- training algorithm
- graph structure
- random walk
- directed graph
- structured data
- graph partitioning
- multi document summarization
- weighted graph
- training process
- directed acyclic graph
- test set
- text summarization
- training phase
- web graph
- online learning
- machine learning