In this section, we provide an open-ended discussion on how the prior distribution ( i.e., imbalanced

However, this structure may not always be available in real-world applications. One solution to this problem is to infer a task-specific latent structure and then apply a GNN to the inferred graph.

Graph Structure Learning (GSL), a family of data-centric learning approaches, has garnered substantial attention in recent years. The core concept behind GSL is to jointly optimize the graph structure and the corresponding GNN models.

Informally,it'shardtotellwhetheryour friends have similar outcomes because they were influenced by your treatment, or whether it's due to some common trait that caused you to be friends in the firstplace.