Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

AI agents didn’t fail in 2025 — the plumbing did. Fixing it in 2026 means smarter logs, async workflows and richer data ...

CardioKG could enhance drug discovery for heart disease by integrating imaging data and biological information, improving gene-disease connection predictions.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Introduction: Sleep disorders pose significant risks to patient safety, yet traditional polysomnography imposes substantial discomfort and laboratory constraints. We developed a non-invasive ...

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...

According to @transformercircuits, attribution graphs have been developed as a method to address persistent challenges in AI model interpretability. Their recent publication explains how these graphs ...

I know this probably isn't top priority, but I'd greatly appreciate if we could get temperature graphs function so we could add temperature history cards to the interface. It would greatly help tune ...