Exploring Sparsity in Graph Transformers

Exploring Sparsity in Graph Transformers

9 December 2023

Liang Ding

Bo Du

Papers citing "Exploring Sparsity in Graph Transformers"

9 / 9 papers shown

Title
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 38 0 0 28 Apr 2025
Biologically Plausible Brain Graph Transformer Ciyuan Peng Yuelong Huang Qichao Dong Shuo Yu Feng Xia Chengqi Zhang Yaochu Jin 63 1 0 13 Feb 2025
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 39 4 0 24 Apr 2024
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 47 22 0 03 May 2023
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 78 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 150 685 0 31 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 164 226 0 23 Mar 2020
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 185 2,578 0 28 Mar 2008