Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...
A hatching/cross-hatching post processing effect for Unity URP (6000.0.58f1) that I made for Serious Point Games as part of my studies in shader development. You can refer to the effect's ...
Abstract: Deep graph networks (DGNs) are a family of machine learning models for structured data which are finding heavy application in life sciences (drug repurposing, molecular property predictions) ...
The single-step retrosynthesis (SSR) (1) is an essential operation in organic chemistry involving the reversed synthesis of a target product or intermediate in a single step. To achieve automatic ...
Reactive Graph provides a designer-friendly way to make Unity game objects react to a single input value. The node-based approach provides an experience similar to Unity's Shader Graph, but on a ...
The VR support in Unity provides a single API interface that interacts with different VR devices, a project folder with no requirement for external plugins, it allows ...
Synthetically generated, large graph networks serve as useful proxies to real-world networks for many graph-based applications. The ability to generate such networks helps overcome several limitations ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Last week, at its AI Summit, Unity, a platform that aims to enable users ...
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