Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs

Research article (Neurocomputing, 2021) · cited 13× · AI/ML
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Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs

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Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-analysis-of-performance-bottlenecks-in-graph-neural-network-training-and-inference-with-gpus
MLA “Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-analysis-of-performance-bottlenecks-in-graph-neural-network-training-and-inference-with-gpus.
BibTeX @misc{4ortxyz_empirical-analysis-of-performance-bottlenecks-in-graph-neural-network-training-and-inference-with-gpus_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-analysis-of-performance-bottlenecks-in-graph-neural-network-training-and-inference-with-gpus}, note = {Accessed: 2026-05-24}}
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