This article discusses the development of a self-supervised learning graph neural network model that can extract atomic information from unlabeled crystal structures. By masking…
Browsing: Graph Neural Network
This Nature journal study used a deep learning approach to explore chemical sub-structures that helped discover structural classes of antibiotics. The study applied graph…
Scientists at the IT University of Copenhagen have proposed the concept of self-assembling neural networks that “grow through a developmental process that mirrors key…
This article presents an automated framework for predicting the power conversion efficiencies (PCEs) of organic solar cells (OSCs). The framework combines an ensemble learning…
Air pollution has major adverse effects on health and climate, leading to more than 8 million deaths in 2018. To accurately evaluate its effects…
Snowflake, the Data Cloud company, announced the launch of Snowpark Container Services to expand the scope of Snowpark to help organizations run third-party software…
Kumo, a deep learning platform for relational data, announced its integration of deep learning capabilities directly into the Snowflake Data Cloud through Snowpark Container…
This article discusses the use of graph neural network (GNN) models for predicting formation energy, a fundamental property that dictates the phase stability of…