论文阅读13-SCGC:Simple Contrastive Graph Clustering 存在的问题 由于对比学习的发展,设计了更加一致和有辨别力的对比损失函数来取代网络训练的聚类引导损失函数。结果,缓解了手动试错问题,并提高了聚类性能。然而,复杂的数据增强和耗时的图卷积操作降低了这些方法的
[2] Structural deep clustering network [4] Multi-view attribute graph convolution networks for clustering [5] Adaptive graph encoder for attributed graph embedding [11] Contrastive multi-view representation learning on graphs [15] Variational graph auto-encoders [17] Augmentation-Free Self-Supervised ...
论文阅读“Simple Contrastive Graph Clustering” Liu Y, Yang X, Zhou S, et al. Simple Contrastive Graph Clustering[J]. arXiv preprint arXiv:2205.07865, 2022. 摘要导读 复杂的数据增强( complicated data augmentations)和较为耗时的图卷积操作(time-consuming graph convolutional operation)影响了对比学习在...
Simple Contrastive Graph Clustering Contrastive learning has recently attracted plenty of attention in deep graph clustering for its promising performance. However, complicated data augmentations and time-consuming graph convolutional operation undermine the efficiency of these methods. To solve this problem,...
论文标题:Deep Graph Clustering via Dual Correlation Reduction论文作者:Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton论文来源:2020, ICML论文地址:download 论文代码:download 1 介绍本文主要介绍 SimCLR框架。定义:SimCLR:一个简单的视觉表示对比学习框架,不仅比以前的工作更出色,而且也更简单,...
These include improving the loss function, using a triplet-like loss function [6], [15], [16], or contrastive loss functions [1], [14]. Activation functions [3], [7], [17] have also been explored and demonstrated to improve the accuracy of these networks. Other techniques include ...
Long - Form Video - Language Pre -Training with Multimodal Temporal Contrastive Learning 2664 18:00 EvenNet: lgnoring Odd - Hop Neighbors Improves Robustness of Graph Neural Networks 2662 17:00 BMU - MoCo: Bidirectional Momentum Update for Continual Video - Language Modeling 2664 18:00 重新审视...
Incomplete multi-view clustering based on information fusion with self-supervised learning The proposed IMCFL framework is based on self-supervised learning and combines contrastive learning and a nearest-neighbor similarity graph.We introduce th... Yilong Cai,Qianyu Shu,Zhengchun Zhou,... - Informati...
论文标题:Simple Contrastive Graph Clustering论文作者:Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu论文来源:2022,arXiv论文地址:download论文代码:download 1 Introduction 贡献: 提出了一种简单的对比深度图聚类方法,称为SCGCSCGC。SCGCSCGC不需要预训练,并为网络训练节省时间和空间; ...
[4] Multi-view attribute graph convolution networks for clustering [5] Adaptive graph encoder for attributed graph embedding [11] Contrastive multi-view representation learning on graphs [15] Variational graph auto-encoders [17] Augmentation-Free Self-Supervised Learning on Graphs ...