The authors propose DCN and PDCN, new GNN architectures using causal graph filters for convolutional learning on DAGs, with established equivariance properties and competitive empirical performance.
Weekly water quality data from the River Thames and its major tributaries (2009–2017),
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Directed Acyclic Graph Convolutional Networks
The authors propose DCN and PDCN, new GNN architectures using causal graph filters for convolutional learning on DAGs, with established equivariance properties and competitive empirical performance.