PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs

1 January 2023

Papers citing "PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs"

3 / 3 papers shown

Title
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges ZhengZhao Feng Rui Wang TianXing Wang Mingli Song Sai Wu Shuibing He AI4CE 37 10 0 01 May 2024
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 70 53 0 16 Oct 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019