SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP

18 October 2022

Jie Chen

Junbin Gao

Papers citing "SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP"

12 / 12 papers shown

Title
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Alexander Rieck 68 1 0 04 Feb 2025
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation Weigang Lu Ziyu Guan Wei Zhao Yaming Yang 21 3 0 23 May 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 23 0 0 02 Mar 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 32 7 0 08 Feb 2024
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 13 1 0 29 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 11 1 0 20 Nov 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 21 4 0 13 Jul 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 49 9 0 24 Mar 2023
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP Ruiyang Liu Yinghui Li Li Tao Dun Liang Haitao Zheng 58 96 0 07 Nov 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 554 0 04 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 222 0 23 Mar 2020
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