# Paper Reading: Modeling Relational Data with Graph Convolutional Networks

This paper introduce Relational Graph Convolutional Networks (R-GCNs) which deal with relational data. In addition, techniques for parameter sharing and to enforce sparsity constraints are introduced to apply R-GCNs to multigraphs with large numbers of relations. 1. Relational Graph Convolutional Networks Given directed and labeled multi-graphs as with nodes and labeled edges , where is a relation type. In a relational multi-graph, R-GCNs calculates the … Continue reading Paper Reading: Modeling Relational Data with Graph Convolutional Networks