What's Behind the Mask: Understanding Masked Graph Modeling for Graph
Autoencoders

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

20 May 2022

Ruofan Wu

Papers citing "What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders"

11 / 11 papers shown

Title
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 29 0 0 17 Apr 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park Heesoo Jung Hogun Park 49 1 0 10 Mar 2025
Graph Masked Language Models Aarush Sinha OM Kumar CU AI4CE 44 0 0 24 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 73 0 0 20 Feb 2025
Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table Haoyuan Wu Haisheng Zheng Shoubo Hu Zhuolun He Bei Yu 47 0 0 18 Feb 2025
Synergistic Deep Graph Clustering Network Benyu Wu Shifei Ding Xiao Xu Lili Guo Ling Ding Xindong Wu 30 0 0 22 Jun 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 49 4 0 24 Apr 2024
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 13 0 0 09 Dec 2023
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 122 976 0 29 Dec 2009