ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Graph Neural Networks (GNNs) have emerged as a dominant framework for semi-supervised learning on graph-structured data, achieving remarkable performance in tasks such as node classification through ...
The oft-delayed debut of Tesla's battery electric Semi continues to be slated for next year, company executives said during Tesla's Q3 earnings call this week. Announced in 2017, Tesla's fully ...
Abstract: As a compromise between supervised and unsupervised learning, semi-supervised learning (SSL) harnesses both labeled and unlabeled data to enhance learning performance. Graph-based ...
Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate ...
The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and ...
ABSTRACT: The rapid advancements in large language models (LLMs) have led to an exponential increase in survey papers, making it challenging to systematically track and analyze their evolving taxonomy ...
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