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 …
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), …
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 …
【论文笔记】Self-supervised Graph-level Representation Learning with Local ...
2022年7月3日 · 应当保留局部距离（local-instance structure），这样相似图可以进行嵌入，而不同的图则会被拆解； 应当反映全局语义（global-semantic structure），这样相似语义属性的 …
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 …
直播 | ICML 2021论文解读：具有局部和全局结构的自监督图表征学习 …
2021年7月5日 · 本期 AI Drive，我们邀请到上海交通大学硕士生徐明皓，为大家在线解读其发表于 ICML 2021 的最新工作： Self-supervised Graph-level Representation Learning with Local and …
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 …
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. …
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 and Global Structure Preservation for Robust Unsupervised ...
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 method uses …