GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism.
Sandeep PolisettyJuelin LiuKobi FalusYi Ren FungSeung-Hwan LimHui GuanMarco SerafiniPublished in: CoRR (2023)
Keyphrases
- neural network training
- graph representation
- graph structure
- graph theory
- directed graph
- graph matching
- weighted graph
- graph databases
- graph model
- graph structures
- graph construction
- labeled graphs
- graph mining
- neural network
- random graphs
- graph data
- training algorithm
- undirected graph
- subgraph isomorphism
- dynamic graph
- spanning tree
- connected graphs
- data sets
- optimization method
- objective function
- genetic programming
- feature extraction
- machine learning