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hand and body configurations, surfaces, graphs and in permutations of inputs. Prominent architectures - including Graph Neural Networks (GNNs) and Convolutional Neural Networks (CNNs) - can be viewed as
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, tasks have a continuous evolution, and the precedence graph becomes dynamic. There is an initial method proposed in the literature, where a static model is proposed, introducing two states of products
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