TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs.
Hongkuan ZhouDa ZhengIsrat NisaVassilis N. IoannidisXiang SongGeorge KarypisPublished in: Proc. VLDB Endow. (2022)
Keyphrases
- training set
- spatio temporal
- temporal reasoning
- temporal information
- spatial and temporal
- temporal consistency
- neural network
- bipartite graph
- training phase
- temporal constraints
- graph theoretic
- graph matching
- graph mining
- graph structure
- temporal relations
- graph representation
- scale invariant
- training samples
- graph theory
- pattern discovery
- supervised learning
- scale space
- space time