TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs.
Hongkuan ZhouDa ZhengIsrat NisaVasileios IoannidisXiang SongGeorge KarypisPublished in: CoRR (2022)
Keyphrases
- spatio temporal
- training phase
- temporal information
- temporal reasoning
- spatial and temporal
- training set
- supervised learning
- scale space
- online learning
- temporal data
- temporal constraints
- series parallel
- machine learning
- temporal events
- training examples
- training samples
- graph matching
- bipartite graph
- small scale
- graph theory
- space time
- test set
- graph mining
- graph theoretic
- feature selection