Existing data resources for drug discovery and repurposing fail to capture relationships central to the disease’s etiology and response to drugs. Objective: We designed the Alzheimer’s Knowledge Base ...

Will the AI Revolution Foment a Revolution? Trump’s Ruinous, Failed Attempt to Indict Congressional Democrats Restoring a citizenship question to the U.S. Census would help rectify imbalances in ...

Abstract: Temporal Knowledge Graph (TKG) representation learning embeds entities and event types into a continuous low-dimensional vector space by integrating the temporal information, which is ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing information into different forms such as ...

Abstract: Fuzzy Petri nets (FPNs) are widely used in various fields for knowledge representation and reasoning. Nevertheless, the original FPN model has many limitations when applied in the practical ...