Our complete pipeline comprises the following steps: 1.
to further explore this issue of whether normalization thus formed classification model has any benefit over GCN and GAt, we experiment with the Cora and Citeseer scientific document classification tasks (as reported in (Kipf and Welling, 2016)  table 3: Summary of the fine-grained F 1 @15 on Se-mEval.