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In recent years, Transformers have dominated the field of natural language processing (NLP), while Graph Neural Networks (GNNs) have proven essential for tasks involving graph stru...

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....

The project is the core of my PhD work. It was heavily inspired by the cognitive science theories, such as the ones from . It's about developing agents equipped with human like ext...