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2305.10758
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Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
18 May 2023
Lirong Wu
Haitao Lin
Yufei Huang
Tianyu Fan
Stan Z. Li
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Papers citing
"Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework"
21 / 21 papers shown
Title
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
142
0
0
28 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Zongyue Qin
Shichang Zhang
Mingxuan Ju
Tong Zhao
Neil Shah
Yizhou Sun
21
0
0
08 Apr 2025
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
Yunhui Liu
Xinyi Gao
Tieke He
Jianhua Zhao
Hongzhi Yin
73
1
0
21 Nov 2024
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Zhangchi Zhu
Wei Zhang
43
0
0
16 Nov 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
28
0
0
09 Sep 2024
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation
Lirong Wu
Yunfan Liu
Haitao Lin
Yufei Huang
Stan Z. Li
37
1
0
20 Jul 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
Tianjun Yao
Jiaqi Sun
Defu Cao
Kun Zhang
Guangyi Chen
37
5
0
28 Jun 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen
Yulan Hu
Sheng Ouyang
Yong Liu
Cuicui Luo
38
0
0
25 Jun 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
36
3
0
23 May 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
40
8
0
06 Mar 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan
Lirong Wu
Yufei Huang
Haitao Lin
Cheng Tan
Zhangyang Gao
Stan Z. Li
37
3
0
03 Mar 2024
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
Yufei Huang
Odin Zhang
Lirong Wu
Cheng Tan
Haitao Lin
Zhangyang Gao
Siyuan Li
Stan. Z. Li
DiffM
29
6
0
18 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
Tianle Zhang
Yuchen Zhang
Kun Wang
Kai Wang
Beining Yang
Kaipeng Zhang
Wenqi Shao
Ping Liu
Qiufeng Wang
Yang You
DD
71
13
0
07 Feb 2024
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs
Yong-Min Shin
Won-Yong Shin
23
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
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction
Yufei Huang
Siyuan Li
Jin Su
Lirong Wu
Odin Zhang
...
Zihan Liu
Zhangyang Gao
Yuyang Liu
Jiangbin Zheng
Stan. ZQ. Li
3DV
38
13
0
14 Oct 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
Lirong Wu
Haitao Lin
Yufei Huang
Stan Z. Li
19
25
0
09 Jun 2023
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Haitao Lin
Yufei Huang
Haotian Zhang
Lirong Wu
Siyuan Li
Zhiyuan Chen
Stan Z. Li
DiffM
19
23
0
30 May 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
65
9
0
24 Mar 2023
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
94
561
0
04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
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