To be successful, embedded analytics have to match the performance of the rest of the app. This requires steps like using ...

While working on PR #245, I noticed an inconsistencies in the examples in Section 18.3.3 Examples of Mapped Graph Patterns. Some of the examples provide two versions of the resulting expressions: the ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

Crochet doilies are not just a reference to the past; they are a blank canvas for the present age, which can be filled with modern creativity and personal expression. This collection of 40 free ...

Advanced Machine Learning models called Graph Neural Networks (GNNs) process and analyze graph-structured data. They have proven quite successful in a number of applications, including recommender ...

Abstract: Finding query patterns in a graph is fundamental for graph data analytics. Existing works mostly focus on either finding a single query pattern or finding patterns in a static graph. However ...

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