Abstract: Data-driven seismic inversion has achieved certain advancements. However, these methods often require a large number of expensive well logs, limiting their application only to mature or ...
Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
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