PyG 2.0: Scalable Learning on Real World Graphs
8 days ago
- #PyTorch Geometric
- #Graph Neural Networks
- #Machine Learning
- PyG (PyTorch Geometric) has evolved into a leading framework for Graph Neural Networks.
- PyG 2.0 introduces significant improvements in scalability and real-world application capabilities.
- The update includes support for heterogeneous and temporal graphs, scalable feature/graph stores, and optimizations.
- PyG supports graph learning in various application areas, including relational deep learning and large language modeling.
- The paper details the framework's enhanced architecture for tackling large-scale graph learning problems efficiently.