Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...
We've tested Intel's Panther Lake flagship laptop chip, the Core Ultra X9 388H, and we're very impressed with the Core Ultra ...
GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...
Abstract: Graph convolutional networks (GCNs) have been the predominant methods in skeleton-based human action recognition, including human-human interaction recognition. However, when dealing with ...
Abstract: Generating drug-like molecules that specifically bind to target proteins remains a resource-intensive challenge. Many studies focus on designing effective networks to accurately extract ...
The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...
The goal is to learn the network characteristics and disease dynamics of the pandemic occurred in Sweden during 2009, commonly known as swine flu. As a secondary goal, we develop an algorithm to ...
Independent Researcher, Dayton, Ohio, USA. which are traditionally interpreted as fundamental limits on knowledge. By contrast, general relativity treats spacetime as a smooth Lorentzian manifold, ...
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