Yongju Lee, PhD, Genentech – “Contextual representation of pathology, immune repertoire by transformer and graph neural network, and transcriptomic contextual embedding via single-cell foundation model”
ZoomThe graph neural network (GNN) and transformer model are two renowned neural network architectures for obtaining contextual embeddings from biomedical data. However, each model has a trade-off in terms of the required dataset for training and representation power of the model. As examples, I will discuss the TEA-graph which employs GNN to define the contextual […]
