DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.
Da ZhengChao MaMinjie WangJinjing ZhouQidong SuXiang SongQuan GanZheng ZhangGeorge KarypisPublished in: IA3@SC (2020)
Keyphrases
- neural network training
- graph representation
- graph structure
- graph matching
- weighted graph
- directed graph
- graph theory
- graph theoretic
- neural network
- graph model
- labeled graphs
- graph databases
- graph structures
- graph construction
- graph mining
- bipartite graph
- undirected graph
- spanning tree
- random graphs
- graph data
- training algorithm
- dynamic graph
- edge weights
- data sets
- optimization method
- semi supervised
- knn