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Graph neural network for website element detection | IEEE Conference Publication | IEEE Xplore
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Graph neural network for website element detection


Abstract:

Websites are a mixture of structured HTML tags, unstructured natural language and styling, which gives a wide range of possibilities how a website can look like. The pape...Show More

Abstract:

Websites are a mixture of structured HTML tags, unstructured natural language and styling, which gives a wide range of possibilities how a website can look like. The paper introduces a website node detector based on the so-called graph neural networks-a new kind of neural networks, which are not working just with tensors like traditional neural networks do, but operates with graphs (or tree structures-special variations of graphs). To assess the accuracy of the proposed methodology, a privately collected and labeled data set was created. Although the data set used for the experiment is relatively limited, results on this limited data set suggest, that this methodology may be a promising path for automatic content generation.
Date of Conference: 01-03 July 2019
Date Added to IEEE Xplore: 25 July 2019
ISBN Information:
Conference Location: Budapest, Hungary

References

References is not available for this document.