Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network.
Linyong HuangZhe ZhangShuangchen LiDimin NiuYijin GuanHongzhong ZhengYuan XiePublished in: IEEE Access (2022)
Keyphrases
- data processing
- neural network
- distributed architecture
- network architecture
- real world
- hierarchical architecture
- data management
- data intensive
- layered architecture
- agent based architecture
- scalable distributed
- associative memory
- distributed systems
- distributed environment
- management system
- graph representation
- neural architecture
- master slave
- distributed processing
- loosely coupled
- multi tier
- multi agent architecture
- distributed stream processing
- feed forward
- genetic algorithm
- small scale
- graph theory
- multi layer
- random walk
- artificial neural networks
- graph structure
- pattern recognition
- directed graph
- software architecture
- high scalability
- self organizing maps
- event processing
- highly distributed
- neural network is trained
- grid middleware
- data acquisition
- connected components
- graph matching
- bipartite graph
- texas instruments
- real time
- multi agent
- neural network structure
- cooperative
- multi agent systems
- fuzzy logic
- mobile agents
- weighted graph