We go through steps in creating GNNs with DGL. We will cover common graph convolution layers including GCN, SageConv, GAT. In each case, we implement the convolution layer from scratch and compare it ...
"Here we use an enzymes dataset. It constructs graphs from the enzymes based on group functions. Nodes means structure elements and edges means the connections between them. Each graph has a label ...
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