Amarlingam Madapu

Generative Adversarial Networks for Graph Data Imputation from Signed Observations

We study the problem of missing data imputation for graph signals from signed one-bit quantized observations. More precisely, we consider that the true graph data is drawn from a distribution of signals that are smooth or bandlimited on a known graph. However, instead of observing these signals, we…