Spread the love“`html Graph paper notebooks are a mathematician’s best friend, serving as a canvas where numbers, equations, ...

The Best Calculators for Engineering Students As an engineering student, you’ll soon realize that a reliable calculator isn’t ...

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

Complex functions can be hard to visualize when you only see formulas in textbooks, right? Even when terms like "absolute value" or "argument" are mentioned, it's quite difficult to build a mental ...

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 ...

Microsoft Corp. is moving closer to delivering on its vision of autonomous artificial intelligence agents that can do more than just chat. Today it has announced the launch of Copilot Cowork, a new ...

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

At the dawn of complex life, evolution created a container for DNA, its most treasured item. A few billion years later, 20th-century microscopists looked at this container — the nucleus — up close and ...

Abstract: Protein complexes play essential roles in cellular functions, and accurate identification of these complexes is critical for understanding biological processes and disease mechanisms.

Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNN) to solve 2D wave equation. Inspired by the Green’s function method for solving ...