GRAF: A machine learning framework that converts multiplexed heterogeneous networks into homogeneous networks to make them more suitable for graph representation learning
Real-world networks, such as those in biomedical and multi-omics datasets, often exhibit complex structures characterized by multiple types of nodes ...
