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We further introduce the concept of adaptive graph in the learning mechanism to adaptively tailor the graph content based on the nature of the dataset.
A detailed overview of the Spark system illustrates how methodologies in design and retrieval functionality enable production of semantic predication graphs tailored to evoke Serendipitous Knowledge Discovery in users.
Based on these concepts, Section 5 introduces a novel variant of this decomposition that is tailored to ambiguity graphs.
This algorithm is tailored to bond graphs.
Triple-stores and SPARQL are tailored toward sub-graph retrieval.
Daily deals services are a dime a dozen but an app that offers recommendations tailored to your social graph on on all your mobile platforms, not just limited to the Facebook platform, is one to watch.
This problem can be solved by using provenance-tracking frameworks like AiiDA [23, 24], a high-throughput infrastructure that provides a high-level research environment to automate the execution of computations, systematically store inputs and outputs and their relationships in a graph database (tailored to keep track of the full data provenance) and share results.
On the server side, plugins have access to the complete Neo4j Java API including a set of graph algorithms tailored for Neo4j and the query language Cypher.
Whereas a large number of dedicated techniques have been recently proposed for static graphs, the design of on-line graph clustering methods tailored for evolving networks is a challenging problem, and much less documented in the literature.
Other features should be introduced, to tailor the model graphs onto the real graphs.
One of the techniques tailored toward a bipartite causality graph based fault propagation model is Active Integrated fault Reasoning (AIR) [14], which is designed to minimize the intrusiveness of investigation actions (e.g., probings) via incrementally enhancing the fault hypothesis and optimizing the investigation action selection process.
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