The paper elaborates on a technique for using knowledge graphs with machine learning ... including core machine learning projects such as novel neural architectures and other application areas ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

However, it’s important to note that not all machine learning tasks require GPUs, and the choice of hardware depends on the specific requirements and scale of the project. And therefore we have ...

Machine learning is a complex discipline but implementing ... a broad library of pre-trained models available for use in your projects. Code from the TensorFlow Model Garden provides examples ...

and machine learning. According to Communications of the ACM (hereafter referred to as ACM), knowledge graphs are important for deepening understanding of ideas and technologies in a variety of ...