GraphMAE: Self-Supervised Masked Graph Autoencoders

22 May 2022

Zhenyu Hou

Xiao Liu

Yukuo Cen

Yuxiao Dong

Hongxia Yang

Papers citing "GraphMAE: Self-Supervised Masked Graph Autoencoders"

50 / 255 papers shown

Title
Multi-Modal Molecular Representation Learning via Structure Awareness Rong Yin Ruyue Liu Xiaoshuai Hao Xingrui Zhou Y. Liu Can Ma Weiping Wang 26 0 0 09 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 65 0 0 08 May 2025
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems Ibne Farabi Shihab Sanjeda Akter Anuj Sharma 22 0 0 06 May 2025
Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform Tianyu Zhang Dongheng Zhang Ruixu Geng Xuecheng Xie Shuai Yang Yan Chen 36 0 0 24 Apr 2025
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Jia Li Fugee Tsung Hongzhi Yin Tieke He 29 0 0 19 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 27 0 0 17 Apr 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition Heesoo Jung Hogun Park 24 2 0 16 Apr 2025
Deep Learning-based Intrusion Detection Systems: A Survey Zhiwei Xu Yujuan Wu Shiheng Wang Jiabao Gao Tian Qiu Ziqi Wang Hai Wan Xibin Zhao 21 1 0 10 Apr 2025
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification Minjun Kim Jaehyeon Choi SeungJoo Lee Jinhong Jung U. Kang OOD GNN 52 0 0 27 Mar 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning Ruobing Jiang Yacong Li Haobing Liu Yanwei Yu 52 0 0 18 Mar 2025
PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease Chenyu Liu Luca Rossi 59 0 0 18 Mar 2025
Graph Generative Models Evaluation with Masked Autoencoder Chengen Wang Murat Kantarcioglu 41 0 0 17 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 71 0 0 16 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 45 0 0 13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Y. Wang Wenqi Fan Suhang Wang Yao Ma 41 0 0 13 Mar 2025
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery Yiheng Zhu Mingyang Li Junlong Liu Kun Fu J. Wu Q. Li Mingze Yin Jieping Ye Jian Wu Z. Wang 60 0 0 06 Mar 2025
Hypergraph Foundation Model Yifan Feng Shiquan Liu Xiangmin Han Shaoyi Du Zongze Wu Han Hu Yue Gao AI4CE 31 0 0 03 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 46 1 0 02 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Y. Wang Xinnan Dai Wenqi Fan Yao Ma 67 1 0 26 Feb 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
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 68 0 0 20 Feb 2025
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu Haisheng Zheng Yuan Pu Bei Yu 42 1 0 18 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 45 0 0 18 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Zhiyuan Liu Yanchen Luo Han Huang Enzhi Zhang Sihang Li Junfeng Fang Yaorui Shi X. Wang Kenji Kawaguchi Tat-Seng Chua 100 3 0 18 Feb 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation Junyi An C. Qu Yun-Fei Shi XinHao Liu Qianwei Tang Fenglei Cao Yuan Qi 35 0 0 12 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 44 0 0 02 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 36 2 0 28 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 45 0 0 17 Jan 2025
Molecular Graph Contrastive Learning with Line Graph Xueyuan Chen Shangzhe Li Ruomei Liu Bowen Shi J. Liu Junran Wu Ke Xu 40 0 0 15 Jan 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph Wenhan Jiang Tingting Chai Hongri Liu Kai Wang Hongke Zhang 34 0 0 13 Jan 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 39 1 0 03 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Y. Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 88 0 0 03 Jan 2025
PyG-SSL: A Graph Self-Supervised Learning Toolkit Lecheng Zheng Baoyu Jing Zihao Li Zhichen Zeng Tianxin Wei ... Lihui Liu Dongqi Fu Jiaxuan You Hanghang Tong Jingrui He 48 5 0 31 Dec 2024
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang Zheyuan Zhang Tianyi Ma Nitesh V. Chawla Chuxu Zhang Yanfang Ye AI4CE 71 0 0 21 Dec 2024
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
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 64 5 0 05 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Jiliang Tang AI4CE 56 0 0 30 Nov 2024
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders N. Martinel Mariano Serrao C. Micheloni 64 1 0 29 Nov 2024
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild Xi Fang Jiankun Wang X. Cai Shangqian Chen Shuwen Yang Lin Yao Linfeng Zhang Guolin Ke Linfeng Zhang Guolin Ke 48 1 0 17 Nov 2024
Accelerating Quasi-Static Time Series Simulations with Foundation Models Alban Puech François Mirallès Jonas Weiss Vincent Mai Alexandre Blondin Massé M. D. Montigny Thomas Brunschwiler Hendrik F. Hamann 29 0 0 13 Nov 2024
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 27 0 0 11 Nov 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 31 0 0 10 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 39 9 0 09 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 41 2 0 05 Nov 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
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting Bo Jiang Hao Wu Beibei Wang Jin Tang B. Luo 23 0 0 29 Oct 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim Soo Yong Lee Fanchen Bu Shinhwan Kang Kyungho Kim Jaemin Yoo Kijung Shin 27 1 0 27 Oct 2024
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning Wu Junran Chen Xueyuan Li Shangzhe 29 1 0 27 Oct 2024
Graph Pre-Training Models Are Strong Anomaly Detectors Jiashun Cheng Zinan Zheng Yang Liu Jianheng Tang H. Wang Yu Rong Jia Li Fugee Tsung 29 1 0 24 Oct 2024
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning Wei Qiao Yebo Feng Teng Li Zijian Zhang Zhengzi Xu Zhuo Ma Yulong Shen 30 0 0 23 Oct 2024