This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N. 101004746. The Patterns Knowledge Graph contains data about patterns ...

As the cost of undetected malware increases, organizations - and particularly those in the financial sector - are motivated to identify cyber threats as swiftly as possible. By 2021, the estimated ...

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Abstract: Frequent subgraph mining (FSM) is one of the most challenging tasks in graph mining. FSM consists of applying the data mining algorithms to extract interesting, unexpected, and useful graph ...

Abstract: We investigate the problem of summarizing frequent subgraphs by a smaller set of representative patterns. We show that some special graph patterns, called δ-jump patterns in this paper, must ...

Fujitsu Laboratories and LARUS Business Automation S.r.l. (LARUS) (1) have jointly verified that credit card payment fraud can be detected with high accuracy by integrating Deep Tensor (2), an ...

This is the official repository of the Research Article A graph-based method for quantifying crack patterns on reinforced concrete shear walls by Pedram Bazrafshan et ...