CMU-SAFARI/PyGim

PyGim is the first runtime framework to efficiently execute Graph Neural Networks (GNNs) on real Processing-in-Memory systems. It provides a high-level Python interface, currently integrated with PyTorch, and supports various GNN models and real-world input graphs. Described by SIGMETRICS'25 by Giannoula et al. (https://arxiv.org/pdf/2402.16731)

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