EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things
Author:
Affiliation:
1. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China
2. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9866069/09714267.pdf?arnumber=9714267
Reference67 articles.
1. Modeling Product’s Visual and Functional Characteristics for Recommender Systems
2. Efficient Neural Matrix Factorization without Sampling for Recommendation
3. Graph attention networks;velickovic;Proc 6th Int Conf Learn Represent (ICLR),2018
4. Semi-supervised classification with graph convolutional networks;kipf;Proc 5th Int Conf Learn Represent (ICLR),2017
5. Collaborative Metric Learning
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Homogeneous graph neural networks for third-party library recommendation;Information Processing & Management;2024-11
2. Adaptive propagation deep graph neural networks;Pattern Recognition;2024-10
3. Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation;Data Science and Engineering;2024-07-09
4. Enhanced Self-supervised Graph Learning Algorithm for Social Recommendation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
5. Improving graph collaborative filtering with view explorer for social recommendation;Journal of Intelligent Information Systems;2024-06-26
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3