Efficient Multi-View Graph Clustering with Local and Global Structure ...
2023年10月27日 · To tackle the issue, we propose a novel anchor-based multi-view graph clustering framework termed Efficient Multi-View Graph Clustering with Local and Global Structure Preservation (EMVGC-LG). Specifically, a unified framework with a theoretical guarantee is designed to capture local and global information.
What is the meaning of preserving local or global structure of …
2022年3月22日 · It embeds data in a lower dimensional space in which light blue is more close to dark blue rather than yellow region, that means local structure was safely preserved, while the global structure of the shape is reduced from a S shape to a simple band (see it as opening or flattening S-shape).
Self-supervised Graph-level Representation Learning with Local …
2021年6月8日 · In this paper, we propose a unified framework called Local-instance and Global-semantic Learning (GraphLoG) for self-supervised whole-graph representation learning. Specifically, besides preserving the local similarities, GraphLoG introduces the hierarchical prototypes to capture the global semantic clusters.
Unsupervised learning: Local and global structure preservation in ...
2023年10月1日 · PaCMAP is a dimensionality reduction technique that uses a stochastic gradient descent algorithm, boasts effective and reliable performance with preserving local and global structure alike, and performs significantly faster than other contemporaneous dimensionality reduction methods.
Local and Global Structure-Aware Contrastive Framework for …
5 天之前 · In this paper, we propose a novel approach, Local and Global Structure-Aware Contrastive Framework (LGEA), to effectively learn the mutual information between the local and global structures of entities. Specifically, we propose a graph augmentation method using Singular Value Decomposition to capture the global structure. In the Global ...
Local and global structure preserving based feature selection
2012年7月15日 · In this paper, we propose two unsupervised FS methods called Local and Global Structure Preserving based Feature Selection (LGFS) and Extended LGFS (E-LGFS), respectively. LGFS firstly constructs a nearest neighborhood graph and a farthest neighborhood graph to describe the local and global structure of samples.
【论文笔记】Self-supervised Graph-level Representation Learning with Local ...
2023年10月19日 · 本文研究了无监督/自监督的全图表示学习，提出了一个局部实例和全局语义学习框架（GraphLoG）。 具体来说，除了保留局部相似性，GraphLoG还引入了层次模型来捕捉全局语义集群。 进一步开发了一种高效的在线期望最大化（EM）算法来学习该模型。 模型在大量未标记的图上进行预训练，然后在下游任务上进行微调，最终在化学和生物基准数据集上进行的大量实验证明了所提出的方法的有效性。 全图的表示学习作为一. 写在前面这篇paper是21年发表 …
propose a novel anchor-based multi-view graph clustering frame-work termed Eficient Multi-View Graph Clustering with Local and Global Structure Preservation (EMVGC-LG). Specifically, a unified framework with a theoretical guarantee is designed to capture lo …
Local and Global Structure Preservation Based Spectral Clustering
2022年10月23日 · This paper extends Spectral Clustering to Local and Global Structure Preservation Based Spectral Clustering (LGPSC) that incorporates both global structure and local neighborhood structure simultaneously.
Balancing Between the Local and Global Structures (LGS) in Graph ...
2024年1月1日 · We introduce the Local-to-Global Structures (LGS) algorithm which provides a parameter-tuneable framework that can produces embeddings that span the spectrum from local optimization to global optimization. Smaller values of the LGS parameter prioritize local structure, while larger values emphasize global structure.