After that, a semantic graph containing whole effective emotional will be generated, which can also be regarded as emotional labeling of long-text. Finally, semantic graph will be put into BERT to ...

Universal Graph Transformer Self-Attention Networks This program provides the implementation of our graph transformer, named UGformer, as described in our paper, where we leverage the transformer self ...

qmplot is a handy, user-friendly tool and Python library that allows for quick and flexible of publication-ready manhattan and Q-Q plots directly from PLINK association results files or any data frame ...

Although graph neural networks based methods can solve the uneven text length problem of text classification datasets, they are difficult to address the data sparsity problem of short texts. Although ...

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...