From Cora to Cosmos: How PyG 2.0 Scales GNNs for the Real World
Graph Neural Networks (GNNs) have come a long way since they solved Cora and PubMed node classification. But what happens when you want to model an entire traffic network, a biomedical knowledge graph, or a social graph with billions of nodes? That’s where PyG 2.0 steps in. The Industrialization of GNNs PyTorch Geometric (PyG) has been a dominant tool in the academic development of GNNs. With PyG 2.0, it graduates into the world of industrial-strength machine learning. This isn’t just a library update—it’s a fundamental re-architecture with three goals: ...