Seastar: vertex-centric programming for graph neural networks.
Yidi WuKaihao MaZhenkun CaiTatiana JinBoyang LiChengguang ZhengJames ChengFan YuPublished in: EuroSys (2021)
Keyphrases
- neural network
- directed graph
- undirected graph
- minimum weight
- edge weights
- labeled graphs
- genetic algorithm
- attributed graphs
- bipartite graph
- artificial neural networks
- random walk
- graph structure
- betweenness centrality
- hamiltonian cycle
- vertex set
- weighted graph
- pattern recognition
- neural network model
- programming language
- average degree
- programming environment
- spanning tree
- graph representation
- graph construction
- maximum cardinality
- graph model
- graph matching
- feed forward
- image segmentation
- object oriented programming
- graph databases
- graph mining
- directed acyclic graph
- fuzzy systems
- neural nets
- back propagation
- fuzzy logic
- connected subgraphs