论文信息 论文标题:SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation论文作者:Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li论文来源:2022, WWW论文地址:download 论文代码:download 1 Introduction 对比学习种数据增强存在的三个问题: First, the augmentati…

论文信息 论文标题:Towards Robust Graph Contrastive Learning论文作者:Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer论文来源:2021, arXiv论文地址:download 论文代码:download 1 Introduction 创新点:从对抗攻击和对抗防御考虑数据增强策略. 2 Graph robust contrastive learning 2.1 Background 目…

论文信息 论文标题:Graph Contrastive Learning with Adaptive Augmentation论文作者:Yanqiao Zhu.Yichen Xu3.Feng Yu4.Qiang Liu.Shu Wu.Liang Wang论文来源:2021, WWW论文地址:download论文代码:download 1 介绍 出发角度:倾向于保持重要的结构和属性不变,同时干扰可能不重要的边连接和特征. 自适应数据增强方面: 拓扑结构:基于节点中心性度量,突出重要连接: 语义信息…

论文信息 论文标题:ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs论文作者:Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li论文来源:2020, ICML论文地址:download 论文代码:download 1 Introduction 图上的监督对比学习很难处理拥有较大的类内(intra-class)差异,…

论文信息 论文标题:Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination论文作者:Yizhen Zheng, Shirui Pan, Vincent Cs Lee, Yu Zheng, Philip S. Yu论文来源:2022,NeurIPS论文地址:download 论文代码:download 1 Introduction…

论文信息 论文标题:Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning论文作者: Kaize Ding .Yancheng Wang .Yingzhen Yang.…

论文信息 论文标题:Towards Deeper Graph Neural Networks论文作者:Meng Liu, Hongyang Gao, Shuiwang Ji论文来源:2020, KDD论文地址:download 论文代码:download 1 Introduction 问题引入: 图卷积是领域聚合的代表,这些邻域聚合方法中的一层只考虑近邻,当进一步深入以实现更大的接受域时,性能会下降,这种性能恶化归因于过平滑问题( over-smoothing),即当感受域增大时,在传播和更新过…

论文信息 论文标题:MaskGAE: Masked Graph Modeling Meets Graph Autoencoders论文作者:Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian......论文来源:2022,arXiv论文地址:download 论文代码:download 1 Introduction MAE 在图上的应用--2022 最潮的方法. 2 Related work and Motivation 2.1…

Paper Information Title:Geom-GCN: Geometric Graph Convolutional NetworksAuthors:Hongbin Pei, Bingzhen Wei, K. Chang, Yu Lei, Bo YangSources:2020, ICLRPaper:Download Code:Download Abstract Message-passing neural networks (MPNNs) 存在的问题:MPNNs 的 aggregat…

6 dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning207 link:https://scholar.google.com.hk/scholar_url?url=https://arxiv.org/pdf/1809.02657&hl=zh-TW&sa=X&ei=bSGfYviOJOOEywThnbSYCQ&scisig=AAGBfm0bzwUuDvjnCX…