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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
129
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
71
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
30
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
32
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
24
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
Joey Tianyi Zhou
Yang You
DD
65
13
0
07 Feb 2024
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs
Yong-Min Shin
Won-Yong Shin
21
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
14
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
62
9
0
24 Mar 2023
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
94
558
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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