Zobrazeno 1 - 3
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pro vyhledávání: '"Pu, Yanyi"'
Autor:
Pu, Yanyi
This thesis delves into a fortiori arguments in deductive reasoning, underscoring their relevance in various domains such as law, philosophy, and artificial intelligence. The research is centred on employing GPT-3.5-turbo to automate the analysis of
Externí odkaz:
http://arxiv.org/abs/2311.13455
Autor:
Jiang, Xiangjian, Pu, Yanyi
Dynamic Graph Neural Networks (DGNNs) have emerged as the predominant approach for processing dynamic graph-structured data. However, the influence of temporal information on model performance and robustness remains insufficiently explored, particula
Externí odkaz:
http://arxiv.org/abs/2311.12255
This paper presents DSS (Dynamic Spectral Sparsification), a sampling approach for drawing large and complex dynamic graphs which can preserve important structural properties of the original graph. Specifically, we present two variants: DSSI (Indepen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70feee1d6eef58ba584f8940be778927