MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural
Networks Training

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training

14 December 2023

Hongwu Peng

Xi Xie

Kaustubh Shivdikar

Caiwen Ding

Papers citing "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training"

6 / 6 papers shown

Title
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation Can Jin Ying Li Mingyu Zhao Shiyu Zhao Z. Wang Xiaoxiao He Ligong Han Tong Che Dimitris N. Metaxas VPVLM VLM 91 1 0 02 Feb 2025
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction Shizhe Yuan Li Zhou 3DH 27 5 0 11 Nov 2024
Regional Style and Color Transfer Zhicheng Ding Panfeng Li Qikai Yang Siyang Li Qingtian Gong DiffM 14 39 0 22 Apr 2024
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 27 31 0 28 Oct 2023
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 22 24 0 11 Sep 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 42 45 0 22 Dec 2021