Abstract: Unsupervised graph representation learning aims to condense graph information into dense vector embeddings to support various downstream tasks. To achieve this goal, existing UGRL approaches ...

Abstract: In recent years, the Graph Transformer has demonstrated superiority on various graph-level tasks by facilitating global interactions among nodes. However, as for node-level tasks, the ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance ...

The body plethysmography is a very sensitive lung measurement used to detect complex or mixed lung pathology that might be missed with conventional pulmonary function tests. The body box makes it easy ...

Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules ...

Novel method for augmenting the representations learned by Transformer-based language models with the symbolic information contained into knowledge graphs. The model first compute the node embeddings ...