Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Wu Xixi"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 1, Pp 127-130 (2024)
AIM:To explore the effect of high aspherical lenticule on controlling low myopia.METHODS: Prospective study. A total of 100 patients aged 7 to 12 years old with low myopia who visited our hospital from May 1 to 31, 2022 were collected. They were divi
Externí odkaz:
https://doaj.org/article/b5a9455829d34a9491ac76f24e9bd681
Publikováno v:
Ziyuan Kexue, Vol 45, Iss 2, Pp 403-416 (2023)
[Objective] Agricultural management on a large scale is an important way to promote the modernization of agriculture. Under the national condition that agricultural production is dominated by small-scale farmers, their willingness to scaled operation
Externí odkaz:
https://doaj.org/article/4d42a7c2d98d4ce88dd194599f3e34d0
Targeted community detection aims to distinguish a particular type of community in the network. This is an important task with a lot of real-world applications, e.g., identifying fraud groups in transaction networks. Traditional community detection m
Externí odkaz:
http://arxiv.org/abs/2408.07369
Autor:
Chen, Xi, Xiong, Yun, Zhang, Siwei, Zhang, Jiawei, Zhang, Yao, Zhou, Shiyang, Wu, Xixi, Zhang, Mingyang, Liu, Tengfei, Wang, Weiqiang
Discrete-Time Dynamic Graphs (DTDGs), which are prevalent in real-world implementations and notable for their ease of data acquisition, have garnered considerable attention from both academic researchers and industry practitioners. The representation
Externí odkaz:
http://arxiv.org/abs/2407.18523
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
The whole map of nematode connectomes provides important structural data for exploring the behavioral mechanism of nematodes, but to further reveal the functional importance and resilience pattern of nematode neurons, it is necessary to effectively c
Externí odkaz:
https://doaj.org/article/10d9e6ba91614f94afe469398bd8fb54
Autor:
Zhang, Siwei, Chen, Xi, Xiong, Yun, Wu, Xixi, Zhang, Yao, Fu, Yongrui, Zhao, Yinglong, Zhang, Jiawei
Temporal Graph Networks (TGNs) have demonstrated their remarkable performance in modeling temporal interaction graphs. These works can generate temporal node representations by encoding the surrounding neighborhoods for the target node. However, an i
Externí odkaz:
http://arxiv.org/abs/2406.11891
Autor:
Wu, Xixi, Shen, Yifei, Shan, Caihua, Song, Kaitao, Wang, Siwei, Zhang, Bohang, Feng, Jiarui, Cheng, Hong, Chen, Wei, Xiong, Yun, Li, Dongsheng
Task planning in language agents is emerging as an important research topic alongside the development of large language models (LLMs). It aims to break down complex user requests in natural language into solvable sub-tasks, thereby fulfilling the ori
Externí odkaz:
http://arxiv.org/abs/2405.19119
Autor:
Jin, Yucheng, Xiong, Yun, Fang, Juncheng, Wu, Xixi, He, Dongxiao, Jia, Xing, Zhao, Bingchen, Yu, Philip
Node classification on graphs is of great importance in many applications. Due to the limited labeling capability and evolution in real-world open scenarios, novel classes can emerge on unlabeled testing nodes. However, little attention has been paid
Externí odkaz:
http://arxiv.org/abs/2403.19907
Drug combinations can cause adverse drug-drug interactions(DDIs). Identifying specific effects is crucial for developing safer therapies. Previous works on DDI event prediction have typically been limited to using labels of specific events as supervi
Externí odkaz:
http://arxiv.org/abs/2402.11472
Autor:
Chen, Xi, Zhang, Siwei, Xiong, Yun, Wu, Xixi, Zhang, Jiawei, Sun, Xiangguo, Zhang, Yao, Zhao, Feng, Kang, Yulin
Temporal Interaction Graphs (TIGs) are widely utilized to represent real-world systems. To facilitate representation learning on TIGs, researchers have proposed a series of TIG models. However, these models are still facing two tough gaps between the
Externí odkaz:
http://arxiv.org/abs/2402.06326