Organizations Tagged 'GNN' (Graph Neural Networks): Research Labs, Startups, and Production Teams Building Graph ML Solutions.
Explore organizations tagged with gnn (Graph Neural Networks) to discover how research labs, startups, and enterprise teams apply GNN architectures - GCN, GAT, MPNN, and graph transformers - for node classification, link prediction, graph embeddings, recommendation systems, and molecular property prediction. This curated list shows organizations defined in the organizations nav and filtered by the tags pillar, surfacing production deployments, open-source projects, technical stacks, benchmark results, and published papers that demonstrate real-world GNN adoption across industries. Use the filtering UI below to narrow by sub-tags (GCN, GAT, MPNN), industry vertical, dataset, repository activity, and maturity; then compare teams by use case, performance metrics, and available code. Explore profiles, view demos and code, and request introductions or collaboration to accelerate evaluation and integration of GNN-powered solutions.
