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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
AAAI Conference on Artificial Intelligence (AAAI), 2023
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"
22 / 22 papers shown
Title
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Seong Jin Ahn
Myoung-Ho Kim
218
0
0
05 Oct 2025
An Efficient GNNs-to-KANs Distillation via Self-Attention Dynamic Sampling with Potential for Consumer Electronics Edge Deployment
Can Cui
Zilong Fu
Penghe Huang
Yuanyuan Li
Wu Deng
Dongyan Li
65
0
0
30 Aug 2025
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
Yujie Sun
Zheng Liang
Yibing Zhan
Dapeng Tao
112
0
0
25 Jul 2025
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
1.1K
1
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
Tony Nowatzki
142
0
0
08 Apr 2025
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Yunhui Liu
Xinyi Gao
Tieke He
Jianhua Zhao
Hongzhi Yin
295
2
0
21 Nov 2024
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Knowledge Discovery and Data Mining (KDD), 2024
Zhangchi Zhu
Wei Zhang
296
1
0
16 Nov 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
207
3
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
169
5
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
187
8
0
28 Jun 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen
Yulan Hu
Sheng Ouyang
Yong Liu
Cuicui Luo
163
0
0
25 Jun 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
Knowledge Discovery and Data Mining (KDD), 2024
Weigang Lu
Ziyu Guan
Ziyu Guan
Yaming Yang
169
11
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
166
20
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
230
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
186
20
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
301
14
0
07 Feb 2024
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs
Yong-Min Shin
Won-Yong Shin
158
4
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
142
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
204
17
0
14 Oct 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
International Conference on Machine Learning (ICML), 2023
Lirong Wu
Haitao Lin
Yufei Huang
Stan Z. Li
166
41
0
09 Jun 2023
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Neural Information Processing Systems (NeurIPS), 2023
Haitao Lin
Yufei Huang
Haotian Zhang
Lirong Wu
Siyuan Li
Zhiyuan Chen
Stan Z. Li
DiffM
215
40
0
30 May 2023
Adaptive Universal Generalized PageRank Graph Neural Network
International Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
868
896
0
14 Jun 2020
1