FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs.
Hesham MostafaAdam GrabowskiMd Asadullah TurjaJuan CerviñoAlejandro RibeiroNageen HimayatPublished in: CoRR (2023)
Keyphrases
- neural network training
- graph representation
- graph structure
- graph theory
- graph matching
- weighted graph
- graph theoretic
- directed graph
- graph databases
- graph construction
- labeled graphs
- graph mining
- random graphs
- graph model
- graph structures
- graph data
- bipartite graph
- neural network
- training algorithm
- spanning tree
- undirected graph
- dynamic graph
- optimization method
- edge weights
- particle swarm optimisation
- decision trees
- fuzzy logic
- multi objective
- pairwise
- expert systems
- feature selection
- machine learning