In 2023, 688 graduates left Harvard Kennedy School for professional destinations spanning the globe, eager to apply their talents to the HKS mission of building communities that are safe, free, just, ...
Abstract: Performing training and inference for Graph Neural Networks (GNNs) under tight latency constraints has become increasingly difficult as real-world input graphs continue to grow. Compared to ...
Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback