Understanding GNN Computational Graph: A Coordinated Computation, IO,
and Memory Perspective

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective

18 October 2021

Papers citing "Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective"

10 / 10 papers shown

Title
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Qiang Xu Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 91 3 0 02 Feb 2025
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving Zihao Ye Lequn Chen Ruihang Lai Wuwei Lin Yineng Zhang ... Tianqi Chen Baris Kasikci Vinod Grover Arvind Krishnamurthy Luis Ceze 67 21 0 02 Jan 2025
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 46 1 0 27 May 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 32 5 0 02 Mar 2023
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 20 56 0 01 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 32 15 0 19 Oct 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs Xin Liu Xunbin Xiong Yurui Lai Runzhen Xue Shirui Pan Xiaochun Ye Xiaochun Ye 21 1 0 02 Sep 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jun Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016