找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Web and Big Data; 5th International Jo Leong Hou U,Marc Spaniol,Junying Chen Conference proceedings 2021 Springer Nature Switzerland AG 202

[复制链接]
楼主: estrange
发表于 2025-3-23 11:52:44 | 显示全部楼层
Degree-Specific Topology Learning for Graph Convolutional Networkce; besides, we add edges between the low-degree nodes and their connectionless neighbors with high similarity in the attribute space. Experiments conducted on several popular datasets demonstrate the effectiveness of our topology learning method.
发表于 2025-3-23 16:50:45 | 显示全部楼层
发表于 2025-3-23 20:21:56 | 显示全部楼层
Simplifying Graph Convolutional Networks as Matrix Factorizationhe task of semi-supervised node classification, the experimental results illustrate that UCMF achieves similar or superior performances compared with GCN. Meanwhile, distributed UCMF significantly outperforms distributed GCN methods, which shows that UCMF can greatly benefit complex real-world appli
发表于 2025-3-24 01:47:29 | 显示全部楼层
Degree-Specific Topology Learning for Graph Convolutional Networkce; besides, we add edges between the low-degree nodes and their connectionless neighbors with high similarity in the attribute space. Experiments conducted on several popular datasets demonstrate the effectiveness of our topology learning method.
发表于 2025-3-24 03:45:22 | 显示全部楼层
Simplifying Graph Convolutional Networks as Matrix Factorizationhe task of semi-supervised node classification, the experimental results illustrate that UCMF achieves similar or superior performances compared with GCN. Meanwhile, distributed UCMF significantly outperforms distributed GCN methods, which shows that UCMF can greatly benefit complex real-world appli
发表于 2025-3-24 08:21:18 | 显示全部楼层
Resource Trading with Hierarchical Game for Computing-Power Network Marketetwork. In this paper, we propose a computing-power market framework and formulate resource trading as a three-stage Stackelberg game. We prove the existence of Stackelberg equilibrium (SE) in game. Then the dynamic-game reinforcement learning (DG-RL) algorithm is designed to solve the optimization
发表于 2025-3-24 11:59:59 | 显示全部楼层
Analyze and Evaluate Database-Backed Web Applications with WTool to generate configurable benchmark scripts based on collected queries. The user can use the scripts to simulate the database access of a specific application for performance evaluation. To demonstrate the usage WTool, we analyze 16 open-source web applications. We introduce several simple optimizat
发表于 2025-3-24 17:59:55 | 显示全部楼层
发表于 2025-3-24 22:25:58 | 显示全部楼层
Analyze and Evaluate Database-Backed Web Applications with WTool to generate configurable benchmark scripts based on collected queries. The user can use the scripts to simulate the database access of a specific application for performance evaluation. To demonstrate the usage WTool, we analyze 16 open-source web applications. We introduce several simple optimizat
发表于 2025-3-25 00:30:10 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-8 11:32
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表