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We characterize the computational power of neural networks that follow the graph neural network (GNN) architecture, not restricted to aggregate-combine GNNs or other particular types. We establish an exact correspondence between the expressivity of G
Externí odkaz:
http://arxiv.org/abs/2402.17805
