Web10 de dez. de 2024 · 为了方便大家对网络表示学习(NE/NRL)开展相关的实验或研究,清华大学计算机科学与技术系的研究人员在 GitHub 上发布了 NE/NRL 训练和测试框架 OpenNE,其中统一了 NE 模型输入/输出/评测 … OpenNE: An open source toolkit for Network Embedding. This repository is a subproject of THU-OpenSK, and all subprojects of THU-OpenSK are as follows. OpenNE; OpenKE. KB2E; TensorFlow-Transx; Fast-TransX; OpenNRE. JointNRE; This repository provides a standard NE/NRL(Network Representation … Ver mais To run "node2vec" on BlogCatalog network and evaluate the learned representations on multi-label node classification task, run the following command in the home directory of this project: To run "gcn" … Ver mais You can check out the other options available to use with OpenNEusing: 1. --input, the input file of a network; 2. --graph-format, the format of input graph, adjlist or edgelist; 3. - … Ver mais DeepWalk and node2vec: 1. --number-walks, the number of random walks to start at each node; the default is 10; 2. --walk-length, the length of random walk started at each node; the default is 80; 3. --workers, the number … Ver mais
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OpenNE: An open source toolkit for Network Embedding - Github
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