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Found 4 papers, 1 papers with code
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Specifically, we propose a mathematical model that decouples the GNN connectivity from the connectivity of the graph data and evaluate the performance of GNNs in a clinical triage use case.
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation
Spinal cord stimulation (SCS) is a therapeutic approach used for the management of chronic pain.
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases of molecule SMILES and protein sequences.
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks
In addition, to compensate for decrease of observer's performance due to the presence of unknown destabilizing forcing, the network is designed to estimate the contribution of the unknown forcing implicitly from the data over the course of training.
