GNN adaptive training paper is accepted by DAC 2024!

👏 Paper title: GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration. GNNavigator introduces an adaptive GNN training configuration optimization framework that balances runtime, memory, and accuracy. By leveraging a unified software-hardware co-abstraction and a novel training performance model, it meets diverse application requirements through effective design space exploration. [related project]