Document embeddings and similarity measures underpin content-based
recom...
Training of Relation Graph Convolutional Networks (R-GCN) does not scale...
We developed a flexible parallel algorithm for graph summarization based...
Traditional document similarity measures provide a coarse-grained distin...
Indexing the Web of Data offers many opportunities, in particular, to fi...
Recent advances in the area of legal information systems have led to a
v...
Schema-level indices are vital for summarizing large collections of grap...