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A survey of RDF stores & SPARQL engines for querying knowledge graphs
RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …
SPARQL query language for RDF, and the development of local and distributed engines for …
Functional dependencies for graphs
We propose a class of functional dependencies for graphs, referred to as GFDs. GFDs
capture both attribute-value dependencies and topological structures of entities, and …
capture both attribute-value dependencies and topological structures of entities, and …
Association rules with graph patterns
We propose graph-pattern association rules (GPARs) for social media marketing. Extending
association rules for itemsets, GPARs help us discover regularities between entities in social …
association rules for itemsets, GPARs help us discover regularities between entities in social …
Optimizing one-time and continuous subgraph queries using worst-case optimal joins
We study the problem of optimizing one-time and continuous subgraph queries using the
new worst-case optimal join plans. Worst-case optimal plans evaluate queries by matching …
new worst-case optimal join plans. Worst-case optimal plans evaluate queries by matching …
Keys for graphs
Keys for graphs aim to uniquely identify entities represented by vertices in a graph. We
propose a class of keys that are recursively defined in terms of graph patterns, and are …
propose a class of keys that are recursively defined in terms of graph patterns, and are …
Multiple query optimization on the D-Wave 2X adiabatic quantum computer
The D-Wave adiabatic quantum annealer solves hard combinatorial optimization problems
leveraging quantum physics. The newest version features over 1000 qubits and was …
leveraging quantum physics. The newest version features over 1000 qubits and was …
SSNet: scale selection network for online 3D action prediction
In action prediction (early action recognition), the goal is to predict the class label of an
ongoing action using its observed part so far. In this paper, we focus on online action …
ongoing action using its observed part so far. In this paper, we focus on online action …
Computing generic abstractions from application datasets
Digital data plays a central role in sciences, journalism, environment, digital humanities, etc.
Open Data sharing initiatives lead to many large, interesting datasets being shared online …
Open Data sharing initiatives lead to many large, interesting datasets being shared online …
Multi-query optimization for subgraph isomorphism search
Existing work on subgraph isomorphism search mainly focuses on a-query-at-a-time
approaches: optimizing and answering each query separately. When multiple queries arrive …
approaches: optimizing and answering each query separately. When multiple queries arrive …
Multi-query optimization in wide-area streaming analytics
Wide-area data analytics has gained much attention in recent years due to the increasing
need for analyzing data that are geographically distributed. Many of such queries often …
need for analyzing data that are geographically distributed. Many of such queries often …