Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Deng, Lambert"'
Autor:
Dong, Yanfei, Dupty, Mohammed Haroon, Deng, Lambert, Liu, Zhuanghua, Goh, Yong Liang, Lee, Wee Sun
Graph Neural Networks often struggle with long-range information propagation and in the presence of heterophilous neighborhoods. We address both challenges with a unified framework that incorporates a clustering inductive bias into the message passin
Externí odkaz:
http://arxiv.org/abs/2405.16185
Autor:
Dong, Yanfei, Deng, Lambert, Zhang, Jiazheng, Yu, Xiaodong, Lin, Ting, Gelli, Francesco, Poria, Soujanya, Lee, Wee Sun
Documents that consist of diverse templates and exhibit complex spatial structures pose a challenge for document entity classification. We propose KNN-former, which incorporates a new kind of spatial bias in attention calculation based on the K-neare
Externí odkaz:
http://arxiv.org/abs/2405.06701
Efficient news exploration is crucial in real-world applications, particularly within the financial sector, where numerous control and risk assessment tasks rely on the analysis of public news reports. The current processes in this domain predominant
Externí odkaz:
http://arxiv.org/abs/2405.04929
The creation of news timeline is essential for a comprehensive and contextual understanding of events as they unfold over time. This approach aids in discerning patterns and trends that might be obscured when news is viewed in isolation. By organizin
Externí odkaz:
http://arxiv.org/abs/2311.11652