Densest subgraph discovery algorithms form a vital field of research within graph theory and data ... focus on the development of approximation and greedy algorithms that achieve efficient ...

Kirk Siegler is a national correspondent for NPR News. As a roving reporter, he covers the western U.S. with an emphasis on rural issues, water and the effects of climate change on smaller ...

Experiments on artificial and real datasets show that the proposed index performs well on finding dense regions, for graphs of various origins.

Less Greedy Equivalence Search is an algorithm for causal discovery from observational and interventional data with prior assumptions. This repository contains the code for the paper "Less Greedy ...

However, like conformal-mesh-based methods, they suffer from low-frequency and dense-mesh breakdown. The solution to this problem lies in the nullspace of the curl–curl operator. In this article, we ...

. ├── config.py # 配置文件 ├── download_datasets.py # 数据集下载脚本 ├── extract_datasets.py # 数据集提取处理脚本 ├── main.py # 主程序入口 ├── train_gnn.py # GNN模型训练脚本 ├── test_gnn.py ...