Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Xing, Qianli"'
Autor:
Wang, Qi, Li, Jindong, Wang, Shiqi, Xing, Qianli, Niu, Runliang, Kong, He, Li, Rui, Long, Guodong, Chang, Yi, Zhang, Chengqi
Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding, as well a
Externí odkaz:
http://arxiv.org/abs/2410.19744
Unsupervised graph-level anomaly detection (UGAD) has garnered increasing attention in recent years due to its significance. Most existing methods that rely on traditional GNNs mainly consider pairwise relationships between first-order neighbors, whi
Externí odkaz:
http://arxiv.org/abs/2407.02057
Unsupervised graph-level anomaly detection (UGAD) has received remarkable performance in various critical disciplines, such as chemistry analysis and bioinformatics. Existing UGAD paradigms often adopt data augmentation techniques to construct multip
Externí odkaz:
http://arxiv.org/abs/2405.02359
Property prediction is a fundamental task in crystal material research. To model atoms and structures, structures represented as graphs are widely used and graph learning-based methods have achieved significant progress. Bond angles and bond distance
Externí odkaz:
http://arxiv.org/abs/2401.11768
Crystal material representation is the foundation of crystal material research. Existing works consider crystal molecules as graph data with different representation methods and leverage the advantages of techniques in graph learning. A reasonable cr
Externí odkaz:
http://arxiv.org/abs/2312.14936
Publikováno v:
In Neural Networks January 2025 181
Autor:
Liu, Xue, Xing, Qianli, Song, Jie, Xiao, Zuoxu, Wang, Fuling, Yang, Tianle, Yu, Jinshi, Chen, Wenmiao, Li, Xiyou, Chen, Yanli
Publikováno v:
In Journal of Colloid And Interface Science September 2023 645:241-250
Autor:
Cheng, Yuanzhuang, Yang, Guangwu, Tian, Zhongcheng, Cui, Yujie, Xing, QianLi, Liu, Hao, Shi, Haolong, Zhong, Yujiang, Chen, Yanli, Li, Xiyou
Publikováno v:
In Microporous and Mesoporous Materials August 2022 341
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Existing document filtering systems learn user profiles based on user relevance feedback on documents. In some cases, users may have prior knowledge about what features are important. For example, a Spanish speaker may only want news written in Spani
Externí odkaz:
http://arxiv.org/abs/1412.8125