Rethinking Graph Masked Autoencoders through Alignment and Uniformity

Rethinking Graph Masked Autoencoders through Alignment and Uniformity

11 February 2024

Liang Wang

Qiang Liu

Liang Wang

Papers citing "Rethinking Graph Masked Autoencoders through Alignment and Uniformity"

7 / 7 papers shown

Title
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition Heesoo Jung Hogun Park 24 2 0 16 Apr 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park Heesoo Jung Hogun Park 46 1 0 10 Mar 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra Liang Wang Shaozhen Liu Yu Rong Deli Zhao Qiang Liu Shu Wu Liang Wang MedIm 58 1 0 22 Feb 2025
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models Zheng Hu Zhe Li Ziyun Jiao Satoshi Nakagawa Jiawen Deng Shimin Cai Tao Zhou Fuji Ren RALM 74 2 0 18 Dec 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction Liang Wang Qiang Liu Shaozhen Liu Xin Sun Shu Wu Liang Wang 37 2 0 02 Nov 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective Jintang Li Ruofan Wu Yuchang Zhu Huizhe Zhang Xinzhou Jin Guibin Zhang Zulun Zhu Zibin Zheng Liang Chen SSL 32 0 0 14 Oct 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021