This is the Python implementation of the Missing-modality-Aware Graph neural NETwork (MAGNET) architecture. MAGNET is a method for direct prediction with partial modalities that introduces a patient-modality multi-head attention mechanism for fusion. MAGNET works on multimodal biological data with missing modalities to improve downstream predictive tasks, such as cancer classification and subtyping.