reading/mtgnn/

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reading/mtgnn/

Key Components Time Convolution (TC) Module Time Convolution The temporal convolution is responsible for capturing temporal patterns in a sequence. Graph Convolution Module Mix-hop Propagation in GNN Mix-hop is a strategy to avoid oversmoothing in GNN Graph Structure Learning Layer Graph Structure Learning in GNN We can learn a graph structure without prior knowledge Architecture Wu et al., 2020

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