Laplacian
Drug response prediction using graph representation learning and Laplacian feature selection
Drug response prediction using graph representation learning and Laplacian feature selection Minzhu Xie 1 2, Xiaowen Lei 3, Jianchen Zhong 3, Jianxing ......
谱图论：Laplacian算子及其谱性质
K为图G的MarKov转移算子，则我们称算子L = I - K为图G的（归一化）Laplacian算子。通过研究L，我们就能把握Laplacian二次型E[f]=⟨f, Lf⟩的特性，从而把握图G的特性，这是谱图理论中至关重要的一点。事实上，我们可以找到Laplacian算子的n个相互正交的规范化特... ......
Graph Laplacian for Semi-Supervised Learning
目录概符号说明Graph-Laplacian for SSL Streicher O. and Gilboa G. Graph laplacian for semi-supervised learning. arXiv preprint arXiv:2301.04956, 2023. 概 标题取得有 ......
Weighted Nonlocal Laplacian on Interpolation from Sparse Data
目录概符号说明WNLL Shi Z., Osher S. and Zhu W. Weighted nonlocal laplacian on interpolation from sparse data. 2017, J. Sci. Comput. 概 针对 graph laplacian 提出的一 ......
谱图论：Laplacian二次型和Markov转移算子
以下部分是我学习CMU 15-751: TCS Toolkit的课堂笔记。接下来将要介绍的是谱图论（spectral graph theory）的关键，也就是Laplacian二次型（Laplacian quadratic form）。直观地理解，Laplacian二次型刻画了图的“能量”（ener... ......