Cross-scale contrastive triplet networks for graph representation learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Cross-scale contrastive triplet networks for graph representation learning

Published:2024-01 Issue: Volume:145 Page:109907
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Liu Yanbei,Shan Wanjin^ORCID,Wang Xiao,Xiao Zhitao,Geng Lei^ORCID,Zhang Fang,Du Dongdong,Pang Yanwei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. DEMO-Net: Degree-specific graph neural networks for node and graph classification;Wu,2019

2. Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation;Liu;Pattern Recognit.,2022

3. MTGCN: A multi-task approach for node classification and link prediction in graph data;Wu;Inf. Process. Manage.,2022

4. Knowledge base graph embedding module design for Visual question answering model;Zheng;Pattern Recognit.,2021

5. Graph u-nets;Gao,2019

Cited by 2 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. LM-Metric: Learned pair weighting and contextual memory for deep metric learning;Pattern Recognition;2024-11

2. Dynamic Graph Contrastive Learning via Maximize Temporal Consistency;Pattern Recognition;2024-04

同舟云学术

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