Efficient Graph Neural Network Inference at Large Scale

1 November 2022

Papers citing "Efficient Graph Neural Network Inference at Large Scale"

9 / 9 papers shown

Title
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 62 0 0 17 Apr 2025
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 37 0 0 25 Oct 2024
Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview Yanshu Wang Tong Yang Xiyan Liang Guoan Wang Hanning Lu Xu Zhe Yaoming Li Li Weitao MQ 44 3 0 18 Sep 2024
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale Yangxin Fan Raymond J. Wieser L. Bruckman R. French Yinghui Wu 50 1 0 13 Feb 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 46 9 0 04 Jan 2024
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 166 226 0 23 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 171 736 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018