Architectural Implications of Graph Neural Networks

Architectural Implications of Graph Neural Networks

2 September 2020

Jingwen Leng

Papers citing "Architectural Implications of Graph Neural Networks"

5 / 5 papers shown

Title
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 55 3 0 27 Sep 2023
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 43 0 0 08 Oct 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 36 225 0 30 Sep 2020
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