GNNs are ideally suited for the Graphcore IPU. Learn how to deploy smarter AI applications for your industry with GNNs and get started in the cloud today.
Try GNNs for freeGraph 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, stock market prediction, social network analysis, traffic forecasting, recommender systems in e-commerce 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.