hybrid text graph models (Kuang Lung Shing)
86
Structured Review
Kuang Lung Shing
hybrid text graph models
Hybrid Text Graph Models, supplied by Kuang Lung Shing, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hybrid+text+graph+models/graph+hybrid+models+text/pm41633250-82-0-11
Average 86 stars, based on 1 article reviews
Hybrid Text Graph Models, supplied by Kuang Lung Shing, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hybrid+text+graph+models/graph+hybrid+models+text/pm41633250-82-0-11
Average 86 stars, based on 1 article reviews
hybrid text graph models - by Bioz Stars,
2026-10
86/100 stars
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other:Article Title: Exploring financial sentiment analysis via fine-tuning large language model and attributed graph neural network. Article Snippet: Financial sentiment analysis (FSA) refers to the task of classifying textual content into predefined sentiment categories to analyze their potential impacts on financial market fluctuations.. However, directly applying these pre-trained LLMs to FSA still poses significant challenges.. Existing approaches fail to align with domain-specific objectives and struggle to adapt to customized financial data schemas. |