Exploring Sparsity in Graph Transformers

Exploring Sparsity in Graph Transformers

9 December 2023

Liang Ding

Bo Du

Papers citing "Exploring Sparsity in Graph Transformers"

7 / 7 papers shown

Title
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 31 0 0 28 Apr 2025
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian V. Dalca I. Aganj 37 21 0 03 May 2023
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 65 82 0 08 Oct 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 30 24 0 11 Sep 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 128 679 0 31 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 222 0 23 Mar 2020
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 158 2,567 0 28 Mar 2008