Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

This manual page documents graph-tools module, a Python module that provides a number of features for handling directed/undirected graphs and complex networks. graph-tools was initially developed for ...

This paper introduces GET-Zero, a model architecture and training procedure for learning an embodiment-aware control policy that can immediately adapt to new hardware changes without retraining. To do ...