Training a GCN-based edge classifier
Exploring the challenges and strategies for effective edge classification with graph neural networks (GNNs)
By Taewoon Kim
In this post, I’ll walk you through the process of training a Graph Convolutional Network (GCN) for edge classification, a common task in graph-based machine learning applications. Edge classification involves predicting the type of relationship (or edge) between two nodes in a graph, which is particularly useful in areas like...
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