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OrthoReg: Improving Graph-regularized MLPs via Orthogonality
  Regularization

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization

31 January 2023
Hengrui Zhang
Shen Wang
V. Ioannidis
Soji Adeshina
Jiani Zhang
Xiao Qin
Christos Faloutsos
Da Zheng
George Karypis
Philip S. Yu
ArXivPDFHTML

Papers citing "OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization"

3 / 3 papers shown
Title
Graph Neural Networks are Inherently Good Generalizers: Insights by
  Bridging GNNs and MLPs
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
24
51
0
18 Dec 2022
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
135
187
0
02 May 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jun Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
206
747
0
03 Sep 2019
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