Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure

26 July 2023

Papers citing "Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure"

6 / 6 papers shown

Title
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices Zhen Du Jiajia Li Yinshan Wang Xueqi Li Guangming Tan N. Sun 32 22 0 07 Nov 2022
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 60 84 0 03 Jul 2021
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 229 4,341 0 06 Mar 2019
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 156 33 0 08 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
Kronecker Graphs: An Approach to Modeling Networks J. Leskovec Deepayan Chakrabarti Jon M. Kleinberg Christos Faloutsos Zoubin Ghahramani 105 1,075 0 29 Dec 2008