SACN | end Structure-Aware Convolutional Networks | Graph Database library

SACN is a Python library typically used in Database, Graph Database, Pytorch applications. SACN has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The end-to-end Structure-Aware Convolutional Network (SACN) model takes the benefit of GCN and ConvE together for knowledge base completion. SACN consists of an encoder of a weighted graph convolutional network (WGCN), and a decoder of a convolutional network called Conv-TransE. WGCN utilizes knowledge graph node structure, node attributes and edge relation types. The decoder Conv-TransE enables the state-of-the-art ConvE to be translational between entities and relations while keeps the same link prediction performance as ConvE.