论文标题:Graph Masked Autoencoders with Transformers 论文作者:Sixiao Zhang, Hongxu Chen, Haoran Yang, Xiangguo Sun, Philip S. Yu, Guandong Xu 论文来源:2022, ArXiv 论文地址:download 论文代码:download 1 Introduction 提出目的: 深层Tramsformer 的困难; ...
However, there are still some challenges when applying transformers to real-world scenarios due to the fact that deep transformers are hard to train from scratch and the quadratic memory consumption w.r.t. the number of nodes. In this paper, we propose Graph Masked Autoencoders (GMAEs), a...
Graph Masked Autoencoders with Transformers. arXiv 2022. [paper]SurveyTransformer for Graphs: An Overview from Architecture Perspective. arXiv 2022. [paper] A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. arXiv 2022. [paper] Attending to ...
[2] Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Gir- shick. 2021. Masked autoencoders are scalable vision learners. In CVPR.[3] Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers f...
GraphMAE: Self-Supervised Masked Graph Autoencoders 团队:Tsinghua University & Alibaba Group 会议:KDD '22 源码 图自编码器(Graph Autoencoder, GAE)一直是图深度学习领域火热的生成式自监督学习方法。2021年,何恺明在视觉领域的新模型 MAE [1] 一经提出,在不到一年的时间内便被应用到图学习领域,成为了图自...
前几天的文章中我们提到MAE在时间序列的应用,本篇文章介绍的论文已经将MAE的方法应用到图中,这是来自[KDD2022]的论文GraphMAE: Self-supervised Masked Graph Autoencoders 生成学习与对比学习 自监督学习从大量的无监督数据中挖掘出自己需要的的监督信息。与监督学习相比,它使用来自数据集本身的信息来构建伪标签。而...
前几天的文章中我们提到MAE在时间序列的应用,本篇文章介绍的论文已经将MAE的方法应用到图中,这是来自[KDD2022]的论文GraphMAE: Self-supervised Masked Graph Autoencoders 生成学习与对比学习 自监督学习从大量的无监督数据中挖掘出自己需要的的监督信息。与监督学习相比,它使用来自数据集本身的信息来构建伪标签。而...
前几天的文章中我们提到MAE在时间序列的应用,本篇文章介绍的论文已经将MAE的方法应用到图中,这是来自[KDD2022]的论文GraphMAE: Self-supervised Masked Graph Autoencoders 生成学习与对比学习 自监督学习从大量的无监督数据中挖掘出自己需要的的监督信息。与监督学习相比,它使用来自数据集本身的信息来构建伪标签。而...
[CIKM 2023] Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. [pdf] [code] [KDD 2022] GraphMAE: Self-supervised masked graph autoencoders. [pdf] [code] [KDD 2022] Gppt: Graph pre-training and prompt tuning to generalize graph neural networks. [arXiv 2022...
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training Hong Yan1* Yang Liu1*† Yushen Wei1 Zhen Li2 Guanbin Li1 Liang Lin1 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2The Chinese Universit...