论文解读（S^3-CL）《Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning》

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论文解读（S^3-CL）《Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning》

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.…

CVPR2020论文解读：三维语义分割3D Semantic Segmentation

CVPR2020论文解读:三维语义分割3D Semantic Segmentation xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation 摘要无监督域自适应(UDA)对于解决新域中缺少注释的问题至关重要.有许多多模态数据集,但大多数UDA方法都是单模态的.在这项工作中,我们探索如何从多模态学*,并提出跨模态UDA(xMUDA),其中我们假设存在二维图像和三维点云进行三维语义分割.这是一…

论文解读（MLGCL）《Multi-Level Graph Contrastive Learning》

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.…

论文解读（ N2N）《Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization》

论文信息论文标题:Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization论文作者:Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang论文来源:CVPR 2022论文地址:download论文代码:download 1 摘要在本工作中,我们提出了一种简单而有效的自监督节点表示学习策略,通过直接最大化节点的…

论文解读（MERIT）《Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning》

论文信息论文标题:Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning论文作者:Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan论文来源:2021, IJCAI论文地址:download 论文代码:download 1 Introduction 创新:融合交叉视图对比和交叉网…

论文解读（GRACE）《Deep Graph Contrastive Representation Learning》

Paper Information 论文标题:Deep Graph Contrastive Representation Learning论文作者:Yanqiao Zhu, Yichen Xu, Feng Yu, Q. Liu, Shu Wu, Liang Wang论文来源:2020, ArXiv论文地址:download 代码地址:download Abstract 在本文中,作者提出了一个利用节点级对比目标的无监督图表示学习框架.具体来说,通过破坏原始图去生成两个视图,并通过最大化这两个视图…