Communities succeed when they are intuitive and appealing. Today's users expect modern features: chats, group rooms, events, ...
Generative AI tools, including ChatGPT, Claude and Gemini, can now create content, combine information and even mimic ...
Abstract: Knowledge graph completion aims to predict missing entities or relationships in a knowledge graph, addressing the issue of data sparsity. In recent years, deep learning-based models, ...
In a New Yorker cartoon about marital relations, a husband tells his wife, “Of course I care about how you imagined I thought ...
Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...
Chess is a strategic game characterized by temporal complexity—wherein the goodness of a move is unclear due to a separation between action and outcome. Likewise, many organizational decisions do not ...
The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...
Abstract: Precisely predicting Drug-Drug Interactions (DDIs) carries the potential to elevate the quality and safety of drug therapies, protecting the well-being of patients, and providing essential ...
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