B. & Alkan, A. Deep network-based comprehensive parotid gland tumor detection. Acad. Radiol. 31(1), 157–167. https://doi.org/10.1016/j.acra.2023.04.028 (2024). Lecun, Y., Bottou, L., Bengio, Y. & Haffner, P. Gradient-based learning applied to document recognition, Proc. IEEE,...
(computer-based). Along with GITAM GAT 2023, JEE Main, TS EAMCET, & AP EAMCET scores will also get considered for B.Tech offered by the Bangalore, Visakhapatnam, and Hyderabad campuses. The result ofGITAM GAT 2023will be released separately for all phases. Applicants who have applied for ...
Li, B., Ming, D. GATSol, an enhanced predictor of protein solubility through the synergy of 3D structure graph and large language modeling. BMC Bioinformatics 25, 204 (2024). https://doi.org/10.1186/s12859-024-05820-8 Download citation Received20 December 2023 Accepted29 May 2024 Published...
we collected public datasets and other studies.bAfter integrating the datasets, we standardized the formats and removed any duplicates and data with unclear formats.cFinally, the dataset was split into train, validation, and test sets, which were utilized for model development ...
2024. "GATv2EPI: Predicting Enhancer–Promoter Interactions with a Dynamic Graph Attention Network" Genes 15, no. 12: 1511. https://doi.org/10.3390/genes15121511 APA Style Zhang, T., Zhao, X., Sun, H., Gao, B., & Liu, X. (2024). GATv2EPI: Predicting Enhancer–Promoter ...
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One task often leverages the shared knowledge from another task and performs better when solved in a joint learning paradigm. Conversational context dependency, multi-modal interaction, and multi-task correlation are three key factors that contribute to this joint paradigm. However, none of the ...
G. L., Swathi MirthikaB., SivakumarIngénierie des Systèmes d'Information
MULTIPLE myelomaThis article validates the use of the GATMO score in predicting non-relapse mortality (NRM) in multiple myeloma (MM) patients after autologous hematopoietic cell transplant (AHCT). The study included 513 MM patients who underwent AHCT, and the GATMO score reliably stratified the ...
PD-GATv2ClassificationThe Graph Attention Network (GAT) is a widely recognized architecture in the field of Graph Neural Networks (GNNs). It is considered the state-of-the-art approach for graph representation learning. In recent years, several researchers have successfully applied GAT to structured...