Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Hong, Chuntao"'
Autor:
Tian, Sheng, Zeng, Xintan, Hu, Yifei, Wang, Baokun, Liu, Yongchao, Jin, Yue, Meng, Changhua, Hong, Chuntao, Zhang, Tianyi, Wang, Weiqiang
Graph-based patterns are extensively employed and favored by practitioners within industrial companies due to their capacity to represent the behavioral attributes and topological relationships among users, thereby offering enhanced interpretability
Externí odkaz:
http://arxiv.org/abs/2411.06878
Commonsense question answering is a crucial task that requires machines to employ reasoning according to commonsense. Previous studies predominantly employ an extracting-and-modeling paradigm to harness the information in KG, which first extracts rel
Externí odkaz:
http://arxiv.org/abs/2411.06866
Autor:
Zhu, Yun, Shi, Haizhou, Wang, Xiaotang, Liu, Yongchao, Wang, Yaoke, Peng, Boci, Hong, Chuntao, Tang, Siliang
Recently, research on Text-Attributed Graphs (TAGs) has gained significant attention due to the prevalence of free-text node features in real-world applications and the advancements in Large Language Models (LLMs) that bolster TAG methodologies. Howe
Externí odkaz:
http://arxiv.org/abs/2410.10329
Autor:
Peng, Boci, Zhu, Yun, Liu, Yongchao, Bo, Xiaohe, Shi, Haizhou, Hong, Chuntao, Zhang, Yan, Tang, Siliang
Recently, Retrieval-Augmented Generation (RAG) has achieved remarkable success in addressing the challenges of Large Language Models (LLMs) without necessitating retraining. By referencing an external knowledge base, RAG refines LLM outputs, effectiv
Externí odkaz:
http://arxiv.org/abs/2408.08921
Graph Transformers (GTs) have recently achieved significant success in the graph domain by effectively capturing both long-range dependencies and graph inductive biases. However, these methods face two primary challenges: (1) multi-view chaos, which
Externí odkaz:
http://arxiv.org/abs/2408.07654
In the graph domain, deep graph networks based on Message Passing Neural Networks (MPNNs) or Graph Transformers often cause over-smoothing of node features, limiting their expressive capacity. Many upsampling techniques involving node and edge manipu
Externí odkaz:
http://arxiv.org/abs/2407.19420
Autor:
Zhang, Jianhong, Jiao, Yun, Sharma, Anket, Shen, Dengfeng, Wei, Bin, Hong, Chuntao, Zheng, Bingsong, Pan, Cunde *
Publikováno v:
In Journal of Biotechnology 20 March 2021 330:17-26
Publikováno v:
In Bioresource Technology May 2018 255:171-179
Autor:
Guo, Haipeng, Wu, Yanwen, Hong, Chuntao, Chen, Houming, Chen, Xuantong, Zheng, Bingsong, Jiang, Dean, Qin, Wensheng
Publikováno v:
In Bioresource Technology December 2017 245 Part A:1008-1015
Autor:
Guo, Haipeng, Hong, Chuntao, Xiao, Mengzhu, Chen, Xiaomin, Chen, Houming, Zheng, Bingsong, Jiang, Dean
Publikováno v:
Planta, 2016 Dec 01. 244(6), 1289-1302.
Externí odkaz:
https://www.jstor.org/stable/48726614