We study a class of graph analytics SQL queries, which we call relationship queries. These
queries involving aggregation, join, semijoin, intersection and selection are a wide superset …

Data compression techniques (both lossless and lossy compression methods) are widely
utilized in big data analytic applications in domains including health-care, transportation …

Distributed shared memory abstraction can coordinate a cluster of machine nodes to
empower performance-critical queries with the scalable memory space and abundant …

Current systems for graph computation require a distributed computing cluster to handle
very large real-world problems, such as analysis on social networks or the web graph. While …

Applications in data science rely on two computing paradigms: tuned high performance
parallel programs and data analytics. While historically their differences were good reason …

We study a class of graph analytics SQL queries, which we call relationship queries.
Relationship queries are a wide superset of fixed-length graph reachability queries and of …