168 citations · 176 across the 5 of their papers we have counts for
3 papers · 1 filter
Robust Generalization of Graph Neural Networks for Carrier Scheduling
Daniel F. Perez-Ramirez, Carlos Pérez-Penichet, Nicolas Tsiftes +3
Battery-free sensor tags are devices that leverage backscatter techniques to communicate with standard IoT devices, thereby augmenting a network's sensing capabilities in a scalabl…
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
Daniel F. Perez-Ramirez, Carlos Pérez-Penichet, Nicolas Tsiftes +3
Novel backscatter communication techniques enable battery-free sensor tags to interoperate with unmodified standard IoT devices, extending a sensor network's capabilities in a scal…
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez +1
Existing approaches to solving combinatorial optimization problems on graphs suffer from the need to engineer each problem algorithmically, with practical problems recurring in man…