Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
Ao ZhouJianlei YangYeqi GaoTong QiaoYingjie QiXiaoyi WangYunli ChenPengcheng DaiWeisheng ZhaoChunming HuPublished in: RTAS (2021)
Keyphrases
- neural network
- computing platform
- weighted graph
- compute intensive
- associative memory
- auto associative
- cloud computing
- computing environments
- graph structure
- distributed computing
- computing systems
- undirected graph
- directed graph
- case study
- edge weights
- digital libraries
- expert systems
- load balancing
- information systems
- databases