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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
v1v2 (latest)

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
ArXiv (abs)PDFHTML

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
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPsIEEE 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
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
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
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
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
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate InferenceIEEE 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
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency PerspectiveKnowledge 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
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-ContrastingIEEE 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
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
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
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
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge DistillationKnowledge 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
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
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
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
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
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
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
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
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPsInternational 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
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and ElaborationNeural 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
Adaptive Universal Generalized PageRank Graph Neural NetworkInternational Conference on Learning Representations (ICLR), 2020
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
868
896
0
14 Jun 2020
1