GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing

20 April 2021

Papers citing "GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing"

8 / 8 papers shown

Title
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 38 2 0 18 Jun 2024
Complex Mixer for MedMNIST Classification Decathlon Zhuoran Zheng Xiuyi Jia 9 7 0 20 Apr 2023
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 54 0 19 May 2022
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN 24 3 0 23 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 13 31 0 02 Aug 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016