Abstract: Knowledge graph is a graphical knowledge base for organizing and representing knowledge. In knowledge graph, each piece of knowledge is represented as a triplet form of (head entity, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a new general-purpose machine learning model that is able to predict a ...

Graph Neural Networks (GNNs) that operate on graph-based data bring multimodal capabilities to machine learning models and have practical applications in areas as diverse as the modelling of physics ...

Description: Implementation of an MPNN to predict blood-brain barrier permeability. as MPNN) are proving to be a useful method for predicting molecular properties. Until now, more traditional methods, ...