Gnnmark: A benchmark suite to characterize graph neural network training on gpus

T Baruah, K Shivdikar, S Dong, Y Sun… - … Analysis of Systems …, 2021 - ieeexplore.ieee.org
Graph Neural Networks (GNNs) have emerged as a promising class of Machine Learning
algorithms to train on non-euclidean data. GNNs are widely used in recommender systems …
被引用次数：35 相关文章

GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUS

T Baruah, K Shivdikar, S Dong, Y Sun… - … Analysis of Systems …, 2021 - pure.kaist.ac.kr
Abstract Graph Neural Networks (GNNs) have emerged as a promising class of Machine
Learning algorithms to train on non-euclidean data. GNNs are widely used in recommender …

GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs

T Baruah, K Shivdikar, S Dong, Y Sun… - … Analysis of Systems …, 2021 - computer.org
Abstract Graph Neural Networks (GNNs) have emerged as a promising class of Machine
Learning algorithms to train on non-euclidean data. GNNs are widely used in recommender …

GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUS

T Baruah, K Shivdikar, S Dong, Y Sun… - … Analysis of Systems …, 2021 - koasas.kaist.ac.kr
Graph Neural Networks (GNNs) have emerged as a promising class of Machine Learning
algorithms to train on non-euclidean data. GNNs are widely used in recommender systems …