STING Spatial Transcriptomics cluster Inference with Nested Graph neural networks Large Image Segmentation with GNN Memory Efficient Semantic Segmentation of Large Microscopy Images Using Graph-based Neural Networks Disease Prediction Using Deep Learning Methods Rare disease prediction with one-shot and multi-model learning Evaluating Methods of Classifying and Segmenting Point Clouds Point Cloud Segementation using Graph Neural Networks and Auto-Encoders Predicting Antibiotic Resistance Using One-shot Learning Using Siamese networks to predict antibiotic resistance