A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

16 February 2022

Stan Z. Li

Papers citing "A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications"

22 / 22 papers shown

Title
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu Yuyao Wang Yibing Zhan Xueqi Ma Dapeng Tao Jia Wu Wenbin Hu 31 4 0 24 Apr 2024
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs Tianyu Zhang Chengbin Hou Rui Jiang Xuegong Zhang Chenghu Zhou Ke Tang Hairong Lv 16 0 0 26 Feb 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities Xikun Zhang Dongjin Song Dacheng Tao CLL 19 2 0 18 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 8 2 0 17 Feb 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 6 1 0 19 Dec 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 23 14 0 26 Nov 2023
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids Ruochi Zhang Haoran Wu Yuting Xiu Kewei Li Ningning Chen Yu Wang Yan Wang Xin Gao Fengfeng Zhou AI4TS 28 0 0 08 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 10 3 0 26 Oct 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng-Long Jiang AI4CE 33 14 0 08 Sep 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? Jun-Xiong Xia Lecheng Zhang Xiao Zhu Stan Z. Li 18 3 0 30 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 24 1 0 07 Jun 2023
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs Zequn Sun Jiacheng Huang Jing-Rong Lin Xiaozhou Xu Qijin Chen Wei Hu 23 0 0 05 Jun 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 11 132 0 16 Feb 2023
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation Zhen Wang Zheng Feng Yanjun Li Bowen Li Yongrui Wang C. Sha Min He Xiaolin Li AI4CE 19 9 0 25 Nov 2022
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings Jiangbin Zheng Yile Wang Ge Wang Jun-Xiong Xia Yufei Huang Guojiang Zhao Yue Zhang Stan Y. Li 6 17 0 30 Oct 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 14 17 0 30 Sep 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 8 75 0 28 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 11 40 0 13 Mar 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun-Xiong Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 4 208 0 07 Feb 2022
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 106 294 0 07 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun-Xiong Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 12 94 0 05 Oct 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020