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07/24/2023
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation
Heterogeneous graph neural networks (HGNNs) have emerged as powerful alg...
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08/09/2022
Characterizing and Understanding HGNNs on GPUs
Heterogeneous graph neural networks (HGNNs) deliver powerful capacity in...
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07/15/2022
Multi-node Acceleration for Large-scale GCNs
Limited by the memory capacity and compute power, singe-node graph convo...
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04/18/2022
Characterizing and Understanding Distributed GNN Training on GPUs
Graph neural network (GNN) has been demonstrated to be a powerful model ...
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08/26/2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
Sampling is a critical operation in the training of Graph Neural Network...
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01/04/2020