  In this paper, we consider multi-channel sampling (MCS) for graph signals. We
generally encounter full-band graph signals beyond the bandlimited one in many
applications, such as piecewise constant/smooth and union of bandlimited graph
signals. Full-band graph signals can be represented by a mixture of multiple
signals conforming to different generation models. This requires the analysis
of graph signals via multiple sampling systems, i.e., MCS, while existing
approaches only consider single-channel sampling. We develop a MCS framework
based on generalized sampling. We also present a sampling set selection (SSS)
method for the proposed MCS so that the graph signal is best recovered.
Furthermore, we reveal that existing graph filter banks can be viewed as a
special case of the proposed MCS. In signal recovery experiments, the proposed
method exhibits the effectiveness of recovery for full-band graph signals.
