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Beijing University of Posts and Telecommunications
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A Factored System for Sample-based GNN Training over GPUs
A reading list for deep graph learning acceleration.
Compare training accuracies of full batch training with mini batch training
XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.