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
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning for Robust Forecasting and Security Weiliang Chen Qianqian Ren Jinbao Li Jianguo Sun 11 0 0 02 Feb 2024
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation Hao Tang Ling Shao N. Sebe Luc Van Gool 21 5 0 15 Jan 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding Bozhen Hu Z. Zang Jun-Xiong Xia Lirong Wu Cheng Tan Stan Z. Li GNN 19 2 0 12 Jan 2024
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering Pengfei Zhu Qian Wang Yu Wang Jialu Li Qinghua Hu 16 3 0 12 Jan 2024
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k Yuanchi Ma Hui He Zhongxiang Lei ZhenDong Niu 24 0 0 09 Jan 2024
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond Siyuan Li Luyuan Zhang Zedong Wang Di Wu Lirong Wu ... Jun-Xiong Xia Cheng Tan Yang Liu Baigui Sun Stan Z. Li SSL 29 13 0 31 Dec 2023
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 37 12 0 21 Dec 2023
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition Wei Ai Yuntao Shou Tao Meng Keqin Li 22 21 0 17 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 28 9 0 13 Dec 2023
GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking Shu Yin Chao Gao Zhen Wang SSL GNN 34 22 0 10 Dec 2023
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
Rethinking and Simplifying Bootstrapped Graph Latents Wangbin Sun Jintang Li Liang Chen Bingzhe Wu Yatao Bian Zibin Zheng 22 11 0 05 Dec 2023
A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data Jungwon Choi Seongho Keum Eunggu Yun Byung-Hoon Kim Juho Lee 23 4 0 04 Dec 2023
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection Haoyu Jiang Haiyang Yu Nan Li Ping Yi 17 0 0 04 Dec 2023
Improving Self-supervised Molecular Representation Learning using Persistent Homology Yuankai Luo Lei Shi Veronika Thost SSL 17 8 0 29 Nov 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation Yuhao Yang Lianghao Xia Da Luo Kangyi Lin Chao Huang AI4CE 27 15 0 28 Nov 2023
MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures Zhuoyuan Wang Jiacong Mi Shan Lu Jieyue He 19 1 0 28 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 25 51 0 28 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 28 53 0 21 Nov 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks Zhonghang Li Lianghao Xia Yong-mei Xu Chao Huang AI4TS AI4CE 80 25 0 07 Nov 2023
Resist Label Noise with PGM for Graph Neural Networks Qingqing Ge Jianxiang Yu Zeyuan Zhao Xiang Li NoLa AAML 15 0 0 03 Nov 2023
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification Yulan Hu Ouyang Sheng Zhirui Yang Yong Liu 25 0 0 02 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 25 14 0 02 Nov 2023
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks Qingqing Ge Zeyuan Zhao Yiding Liu Anfeng Cheng Xiang Li Shuaiqiang Wang Dawei Yin 15 6 0 26 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang Jihoon Tack Daewon Choi Jongheon Jeong Jinwoo Shin 11 2 0 25 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning Yuxiang Wang Xiao Yan Chuang Hu Fangcheng Fu Wentao Zhang Hao Wang Shuo Shang Jiawei Jiang SSL 37 6 0 24 Oct 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 26 35 0 23 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 26 0 0 23 Oct 2023
UniMAP: Universal SMILES-Graph Representation Learning Shikun Feng Lixin Yang Wei-Ying Ma Yanyan Lan OffRL 11 6 0 22 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 29 121 0 19 Oct 2023
Self-supervision meets kernel graph neural models: From architecture to augmentations Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng ... Tianyi Zhang Ningtao Wang Xin Fu Qi Li Weiqiang Wang SSL 21 1 0 17 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning Yulan Hu Zhirui Yang Ouyang Sheng Yong Liu 19 1 0 17 Oct 2023
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning Zian Jia Yun Xiong Yuhong Nan Yao Zhang Jinjing Zhao Mi Wen 21 16 0 15 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 29 26 0 11 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu Yaqing Wang Quanming Yao 11 4 0 01 Oct 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 20 11 0 29 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 52 3 0 27 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 26 19 0 20 Sep 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning Dingshuo Chen Yanqiao Zhu Jieyu Zhang Yuanqi Du Zhixun Li Qiang Liu Shu Wu Liang Wang 21 15 0 15 Sep 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng-Long Jiang AI4CE 35 14 0 08 Sep 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation Sungjun Cho Dae-Woong Jeong Sung Moon Ko Jinwoo Kim Sehui Han Seunghoon Hong Honglak Lee Moontae Lee AI4CE DiffM 23 1 0 08 Sep 2023
Layer-wise training for self-supervised learning on graphs Oscar Pina Verónica Vilaplana SSL GNN 25 1 0 04 Sep 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 35 24 0 18 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 30 10 0 14 Aug 2023
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text Peng Liu Yiming Ren Jun Tao Zhixiang Ren AI4CE 25 78 0 14 Aug 2023
Graph Contrastive Learning with Generative Adversarial Network Cheng Wu Chao-Hong Wang Jingcao Xu Ziyang Liu Kai Zheng Xiaowei Wang Yang Song Kun Gai GAN 16 21 0 01 Aug 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 18 7 0 24 Jul 2023
LightPath: Lightweight and Scalable Path Representation Learning Sean Bin Yang Jilin Hu Chenjuan Guo B. Yang Christian S. Jensen 31 27 0 19 Jul 2023
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training Hongfei Yan Y. Liu Yushen Wei Z. Li Guanbin Li Liang Lin 21 40 0 17 Jul 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 31 13 0 14 Jul 2023