Healthy ecosystems depend on more than just having lots of species—they rely on the complex relationships between plants, prey and predators, according to new international research led by the ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

The term Tennessee Valley Authority first appeared in the Chattanooga Times on April 8, 1933, in an announcement of a daring ...

Interferon receptor knockout chickens uncover how type I and III interferons differentially shape avian antiviral immunity and influenza disease outcomes.

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Announcing a new publication for Acta Materia Medica journal. Traditional Chinese medicine has shown therapeutic potential in treating osteoarthritis (OA) by regulating inflammation and maintaining ...

description [AAAI 2026][Graph Learning][RAG] This paper proposes CogGRAG, a human cognition-inspired knowledge graph-based RAG framework that substantially improves LLM accuracy and reliability on ...

Description: 👉 Learn how to graph a sine function. To graph a sine function, we first determine the amplitude (the maximum point on the graph), the period (the distance/time for a complete ...

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...