👉 Vertex engineering is a technique in deep learning, particularly within graph neural networks (GNNs), that focuses on modifying the structure and properties of nodes (vertices) in a graph to enhance the model's ability to learn meaningful representations. By introducing custom operations or modifying existing ones, vertex engineering aims to capture more complex and nuanced relationships within the graph data. This can involve adding new features, reweighting existing attributes, or even creating new types of nodes and edges to better reflect the underlying graph structure. The goal is to improve the model's performance on tasks like node classification, link prediction, and graph classification by providing richer and more informative input representations.
