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 …
顶会论文看 图对比学习（GNN+CL）研究趋势 - 知乎
发表于 ICML 2021 的论文 Self-supervised Graph-level Representation Learning with Local and Global Structure 假设图的数据集中存在全局的、层次性的类别关联，并引入层次化的 …
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 …
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), …
Local and Global Structure Preservation for Robust Unsupervised ...
Abstract: This paper proposes a new unsupervised spectral feature selection method to preserve both the local and global structure of the features as well as the samples. Specifically, our …
Unsupervised learning: Local and global structure preservation in ...
2023年10月1日 · While the global structure defines the outer shape of the process dataset and its overall variance, the local structure describes its inner organization and the detailed …
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 …
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. …
Multi-view multi-manifold learning with local and global structure ...
2022年10月4日 · To address these two problems, this paper proposes a novel method called multi-view multi-manifold learning with local and global structure preservation (MML-LGSP). …
In this paper, we propose a unified framework called Local-instance and Global-semantic Learning (GraphLoG) for self-supervised whole-graph representation learning. Specifically, …