Before revision:  GIST is a hybrid layer and graph sampling method, which disjointly partitions the global model into several, smaller sub-GCNs that are independently trained across multiple GPUs in parallel.
After revision:  GIST is a hybrid layer and graph sampling method, which disjointly partitions the parameters of a GCN model into several, smaller sub-GCNs that are independently trained across multiple GPUs in parallel.