Aug 4, 2023 · A framework for easy and efficient GNN model evaluation, which automatically translates the training code of a GNN model for layer-wise evaluation to minimize ...
Nov 28, 2022 · In this paper, we develop Deep Graph Inference (DGI) -- a system for easy and efficient GNN model inference, which automatically translates the training code ...
May 12, 2024 · By efficiently computing the graph convolution using SpMM, GNNs can scale to handle large graphs and achieve state-of-the-art performance in ...
HIGHLIGHT · In this paper, we present DGI -a framework for easy and efficient GNN model evaluation, which automatically translates the training code of a GNN ...
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Posted: Jul 11, 2023
Posted: Jul 11, 2023
Nov 28, 2022 · In this paper, we develop Deep Graph Inference (DGI) — a system for easy and efficient GNN model inference, which automatically translates the ...
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In this paper, we develop Deep Graph Inference (DGI) -- a system for easy and efficient GNN model inference, which automatically translates the training code of ...
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Dgi: An easy and efficient framework for gnn model evaluation. P Yin, X Yan, J Zhou, Q Fu, Z Cai, J Cheng, B Tang, M Wang. Proceedings of the 29th ACM SIGKDD ...
DGI: An Easy and Efficient Framework for GNN Model Evaluation. Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang.
In this paper, we develop Deep Graph Inference (DGI) -- a system for easy and efficient GNN model inference, which automatically translates the training code of ...