As data scales continue to expand, graph structures are widely applied across multiple domains due to their effective organization of complex data. Graph Pattern Matching (GPM) is a fundamental task ...

A fundamental operation on large graphs is the search of occurrences of a given pattern in the graph. Like [1], we consider an original graph OG and a query pattern Q of labeled nodes and unlabeled ...

A graph convolutional neural network for classification of building patterns using spatial vector data This project is an open source implementation of the graph convolutional neural network for ...

The matlab code for thermography based defect nondestructive testing - GitHub - dctthree/thmography-pattern-analysis: The matlab code for thermography based defect nondestructive testing ...

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...

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