Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...

Abstract: The inner product between two activation vectors is crucial for implementing neural networks with the attention mechanism. In this work, we propose and experimentally validate a novel inner ...