While graph machine learning, and notably graph neural networks (GNNs), have gained immense traction in recent years, application is predicated on access to a known input graph upon which predictive ...

People are hard to understand, developers doubly so! In this tutorial, we will explore how communities form in organizations to develop a better solution than "The Org Chart". We will walk through ...

Imagimob Studio’s Graph UX update enhances user-friendliness and brings a collection of new capabilities to the ML design process. Machine learning (ML) and its benefits to a product's software suite ...

Abstract: This paper presents a heterogeneous graph attention network for predicting routing congestion on the netlists, crucial for chip design. It features a twolevel attention mechanism to account ...