2 papers
cs.LG2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
Xin Huang, Jongryool Kim, Bradley Rees +1
Graph neural networks (GNNs) have received great attention due to their success in various graph-related learning tasks. Several GNN frameworks have then been developed for fast an…
cs.NI2022
GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu +4
We study the problem of floor identification for radiofrequency (RF) signal samples obtained in a crowdsourced manner, where the signal samples are highly heterogeneous and most sa…