DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.
Da ZhengChao MaMinjie WangJinjing ZhouQidong SuXiang SongQuan GanZheng ZhangGeorge KarypisPublished in: CoRR (2020)
Keyphrases
- neural network training
- graph representation
- graph theory
- graph structure
- graph matching
- weighted graph
- graph theoretic
- directed graph
- graph model
- graph construction
- graph structures
- graph mining
- labeled graphs
- graph databases
- bipartite graph
- random graphs
- neural network
- spanning tree
- graph data
- training algorithm
- undirected graph
- dynamic graph
- edge weights
- connected graphs
- particle swarm optimisation
- knn
- search engine