Node Classification (Supervised)
Learn the formulation of a node classification problem on a graph.
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Often, nodes in a graph come with some labels or tags. Some labels are usually missing when dealing with a vast graph database. Our task is to find or predict the missing labels using the knowledge from the available nodes. Yes, that's right! This sounds like a problem machine learning can solve.
Node classification is a task in which we build a predictive model, such as a binary classification task (in the case of two different types of labels) or a multiclass classification task (greater than two labels), to identify the missing cases.
Input features
The target class in the machine learning problem setting is the node labels. The predictor class/variable is the node embeddings. The input features’ dimensions are user-defined and can be treated as a hyperparameter. Any machine learning ...