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Design Your Own Universe: A Physics-Informed Agnostic Method for
  Enhancing Graph Neural Networks

Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks

26 January 2024
Dai Shi
Andi Han
Lequan Lin
Yi Guo
Zhiyong Wang
Junbin Gao
ArXivPDFHTML

Papers citing "Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks"

6 / 6 papers shown
Title
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
27
2
0
21 May 2024
Mitigating Over-Smoothing and Over-Squashing using Augmentations of
  Forman-Ricci Curvature
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
Lukas Fesser
Melanie Weber
65
19
0
17 Sep 2023
Frameless Graph Knowledge Distillation
Frameless Graph Knowledge Distillation
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
21
4
0
13 Jul 2023
Generalized energy and gradient flow via graph framelets
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
70
13
0
08 Oct 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node
  Classification
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Le Yu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
30
14
0
31 May 2022
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