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GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
In this paper, we presented a novel feature extraction methodology GraphViz2Vec that can capture the structural information of a node's local neighbourhood to create meaningful initial embeddings for a GNN model.
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