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pro vyhledávání: '"YANG Wenjie"'
Graph recommender (GR) is a type of graph neural network (GNNs) encoder that is customized for extracting information from the user-item interaction graph. Due to its strong performance on the recommendation task, GR has gained significant attention
Externí odkaz:
http://arxiv.org/abs/2407.17723
Autor:
Fang, Anna, Yang, Wenjie, Shah, Raj Sanjay, Mathur, Yash, Yang, Diyi, Zhu, Haiyi, Kraut, Robert
Online mental health support communities have grown in recent years for providing accessible mental and emotional health support through volunteer counselors. Despite millions of people participating in chat support on these platforms, the clinical e
Externí odkaz:
http://arxiv.org/abs/2312.10775
In this work, we discover a phenomenon of community bias amplification in graph representation learning, which refers to the exacerbation of performance bias between different classes by graph representation learning. We conduct an in-depth theoretic
Externí odkaz:
http://arxiv.org/abs/2312.04883
Graph contrastive learning (GCL) has become a powerful tool for learning graph data, but its scalability remains a significant challenge. In this work, we propose a simple yet effective training framework called Structural Compression (StructComp) to
Externí odkaz:
http://arxiv.org/abs/2312.04865
Social media images, curated or casual, have become a crucial component of communicating situational information and emotions during health crises. Despite its prevalence and significance in informational dissemination and emotional connection, there
Externí odkaz:
http://arxiv.org/abs/2311.10977
The proliferation of short video and live-streaming platforms has revolutionized how consumers engage in online shopping. Instead of browsing product pages, consumers are now turning to rich-content e-commerce, where they can purchase products throug
Externí odkaz:
http://arxiv.org/abs/2308.05550
Live commerce is the act of selling products online through live streaming. The customer's diverse demands for online products introduce more challenges to Livestreaming Product Recognition. Previous works have primarily focused on fashion clothing d
Externí odkaz:
http://arxiv.org/abs/2308.04912
Community rules play a key part in enabling or constraining the behaviors of members in online communities. However, little is unknown regarding whether and to what degree changing rules actually affects community dynamics. In this paper, we seek to
Externí odkaz:
http://arxiv.org/abs/2308.01257
Wee1 inhibitor PD0166285 sensitized TP53 mutant lung squamous cell carcinoma to cisplatin via STAT1.
Autor:
Li, Qi1,2 (AUTHOR), Yang, Wenjie3 (AUTHOR), Zhang, Qingyi4 (AUTHOR), Zhang, Daoming5 (AUTHOR), Deng, Jun6 (AUTHOR), Chen, Binxin1,2 (AUTHOR), Li, Ping2 (AUTHOR), Zhang, Huanqi5 (AUTHOR), Jiang, Yiming5 (AUTHOR), Li, Yangling2,5 (AUTHOR), Zhang, Bo7,8 (AUTHOR) zhangbo1009@zju.edu.cn, Lin, Nengming1,2 (AUTHOR) lnm1013@zju.edu.cn
Publikováno v:
Cancer Cell International. 9/13/2024, Vol. 24 Issue 1, p1-17. 17p.
Autor:
ZHONG Ruihua, LI Guoting, YANG Wenjie, GUO Xiangjie, ZHOU Jieyun, HU Yingyi, NI Qicheng, YANG Ye, ZHANG Min, ZHU Yan
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 44, Iss 2, Pp 127-138 (2024)
Objective To establish an allogeneic rat model of endometriosis and to evaluate the effects of gonadotropin-releasing hormone (GnRH) agonist GenSci006 on experimental rat endometriosis. Methods Endometrium from SPF grade donor female SD rats were tra
Externí odkaz:
https://doaj.org/article/86bbc16580ef4d9696771e2265f882ff