[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...
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,...
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...
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 ...
Clustering-Guided Twin Contrastive Learning for Endomicroscopy Image Classification Learning better representations is essential in medical image analysis for computer-aided diagnosis. However, learning discriminative semantic features is ... Jingjun Zhou,Xiangjiang Dong,Qian Liu - Journal on Biomedical and ...
Contrastive learning is a promising path toward better recommendation performance. How can we design a practical graph augmentation approach for contrastive learning? To deal with the first challenge, we propose a diffusion module to effectively learn user and item embedding. Instead of the traditional...
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, 22–27 May 2022; Long Papers. Volume 1, pp. 4281–4294. [Google Scholar] Liu, P.; Yuan, W.; ...
Learning a Few-shot Embedding Model with Contrastive Learning. In Proceedings of the AAAI Conference on Artificial Intelligence, Online, 2–9 February 2021; Volume 35, pp. 8635–8643. [Google Scholar] Majumder, O.; Ravichandran, A.; Maji, S.; Polito, M.; Bhotika, R.; Soatto, S. ...
Learning a Few-shot Embedding Model with Contrastive Learning. In Proceedings of the AAAI Conference on Artificial Intelligence, Online, 2–9 February 2021; Volume 35, pp. 8635–8643. [Google Scholar] Majumder, O.; Ravichandran, A.; Maji, S.; Polito, M.; Bhotika, R.; Soatto, S. ...