MOD

Knowledge graphs have been used to support a wide range of applications and enhance search results for multiple major search engines, such as Google and Bing. At Amazon we are building a Product Graph, an authoritative knowledge graph for all products ...

After several decades of research but limited adoption in practice, graph querying and analytics are finally starting to gain a foothold in the data management landscape. This is driven to a large degree by the increasing desire to model and query the ...

Stream-based graph systems continuously ingest graph-changing events via an established input stream, performing the required computation on the corresponding graph. While there are various benchmarking and evaluation approaches for traditional, batch-...

Graphs can be naturally represented as sparse matrices. The relationship between graph algorithms and linear algebra algorithms is well understood and many graph problems can be abstracted as Sparse General Matrix-Matrix Multiplication (SpGEMM) ...

Context-free path querying is a technique, which recently gains popularity in many areas, for example, graph databases, bioinformatics, static analysis, etc. In some of these areas, it is often required to query large graphs, and existing algorithms ...

Arising user-centric graph applications such as route planning and personalized social network analysis have initiated a shift of paradigms in modern graph processing systems towards multi-query analysis, i.e., processing multiple graph queries in ...

Networks play an increasingly important role in modelling real-world systems due to their utility in representing complex connections. For predictive analyses, the engineering of node features in such networks is of fundamental importance to machine ...

Despite the growing popularity of techniques related to graph summarization, a general operator for the flexible nesting of graphs is still missing. We propose a novel nested graph data model and a powerful graph nesting operator. In contrast to ...

In this short paper, we provide an early look at the LDBC Social Network Benchmark's Business Intelligence (BI) workload which tests graph data management systems on a graph business analytics workload. Its queries involve complex aggregations and ...

While there has been a tremendous interest in processing data that has an underlying graph structure, existing distributed graph processing systems take several minutes or even hours to execute popular graph algorithms. However, in several cases, ...

Analytical SQL queries are a valuable source of information. Query log analysis can provide insight into the usage of datasets and uncover knowledge that cannot be inferred from source schemas or content alone. To unlock this potential, flexible ...

In the past decade Knowledge graphs have become very popular and frequently rely on the Resource Description Framework (RDF) or Property Graphs (PG) as their data models. However, the query languages for these two data models - SPARQL for RDF and the PG ...