Abstract: Graph pattern matching algorithms to handle million-scale dynamic graphs are widely used in many applications such as social network analytics and suspicious transaction detections from ...

Abstract: Graph pattern matching is fundamentally important to many applications such as analyzing hyper-links in the World Wide Web, mining associations in online social networks, and substructure ...

Learn how to read a candlestick chart and spot candlestick patterns that aid in analyzing price direction, previous price movements, and trader sentiments.

Forbes contributors publish independent expert analyses and insights. I write about blockchain and big data, primarily focusing on XRP. The third part in series on how graph databases can be used to ...

This project aims to address the fragmentation in the implementation of inference services for transformer-based models by proposing a standard for graph representation. The standard ensures optimal ...

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 ...