GNNs are ideally suited for the Graphcore IPU architecture. Get started today with a wide range of GNN applications for your industry or your scientific research with GNNs .
Try GNNs todayGraph neural networks (GNNs) are AI models designed to derive insights from unstructured data described by graphs. GNNs are an ideal fit for the Graphcore IPU, designed from the ground up for AI expressed as graphs. Unlike conventional CNNs, GNNs address the challenge of working with data in irregular domains. There are many applications for GNNs including molecular analysis, drug discovery, fraud detection, stock market prediction, traffic forecasting and much more.
Take data intelligence to the next level with graph neural networks for applications across drug discovery, molecular modeling, chemistry, life sciences and biotechnology.
Whether you’re working on protein sequencing or predicting patient outcomes, IPUs are designed to help you get deeper insights faster from graph neural networks.