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6 days ago · Basically, it shows propagation-based fake news detection using graph neural networks with transformers. This work drawbacks from (i) scalability, (ii) sparsity ...
5 hours ago · The Journal of Intelligent Systems is an Open Access, peer reviewed journal. The journal provides readers with a compilation of stimulating and up-to-date ...
Missing: Scalable | Show results with:Scalable
8 hours ago · This paper proposes a new robust model for text classification on the Stanford Sentiment Treebank v2 (SST-2) dataset in terms of model accuracy.
2 days ago · The rapid progress of XLMs has opened new frontiers in AD. Indeed, LLMs have shown strong abilities in understanding context, handling complex tasks, and ...
Missing: Construction | Show results with:Construction
3 days ago · Deep learning is a subset of machine learning methods based on neural networks with representation learning. The field takes inspiration from biological ...
4 days ago · In recent years, the increasing demand for distributed graph computing systems designed for handling large-scale graph data has brought graph partitioning ...
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7 days ago · ... Label Data Frames, Variables, and Values. 2024-09-08, litedown, A Lightweight ... Graph Community Detection Methods into Systematic Conservation Planning.
6 days ago · May 15 11:00am EDT CCBS Special Seminar: Large Language Models vs Human Brain: mapping and decoding the language code in neural systems.
5 days ago · Building a simple annotation database, Panagiotis Moulos, 2024-03-07. metaseqR2 · Building an annotation database for metaseqR2, Panagiotis Moulos, 2024-03-07.
6 days ago · The aim of this study is to reveal whether the effect of rasagiline against dysphagia in Parkinson's disease is related with the age of disease onset. Patients ...
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