In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

In this article, we propose a large language model (LLM)-assisted graph attentive feature interaction learning framework (CVDLLM) for automatic ECG diagnosis. It utilizes ECG data from twelve leads to ...

To address these challenges, we propose a knowledge graph completion model based on CP decomposition, CPM. This model decomposes the drug-relation-target third-order tensor into a sum of rank-one ...