How Long to Read Graph Neural Networks for Natural Language Processing

By LINGFEI WU; YU CHEN; KAI SHEN; XIAOJIE GUO; HANNIN.

How Long Does it Take to Read Graph Neural Networks for Natural Language Processing?

It takes the average reader to read Graph Neural Networks for Natural Language Processing by LINGFEI WU; YU CHEN; KAI SHEN; XIAOJIE GUO; HANNIN.

Assuming a reading speed of 250 words per minute. Learn more

Description

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expressed with a graph structure. As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. They propose a new taxonomy of GNNs for NLP, which systematically organizes existing research of GNNs for NLP along three axes: graph construction, graph representation learning, and graph based encoder-decoder models. They further introduce a large number of NLP applications that exploits the power of GNNs and summarize the corresponding benchmark datasets, evaluation metrics, and open-source codes. Finally, they discuss various outstanding challenges for making the full use of GNNs for NLP as well as future research directions. This is the first comprehensive overview of Graph Neural Networks for Natural Language Processing. It provides students and researchers with a concise and accessible resource to quickly get up to speed with an important area of machine learning research.

How long is Graph Neural Networks for Natural Language Processing?

Graph Neural Networks for Natural Language Processing by LINGFEI WU; YU CHEN; KAI SHEN; XIAOJIE GUO; HANNIN. is 0 pages long, and a total of 0 words.

This makes it 0% the length of the average book. It also has 0% more words than the average book.

How Long Does it Take to Read Graph Neural Networks for Natural Language Processing Aloud?

The average oral reading speed is 183 words per minute. This means it takes to read Graph Neural Networks for Natural Language Processing aloud.

What Reading Level is Graph Neural Networks for Natural Language Processing?

Graph Neural Networks for Natural Language Processing is suitable for students ages 2 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Graph Neural Networks for Natural Language Processing?

Graph Neural Networks for Natural Language Processing by LINGFEI WU; YU CHEN; KAI SHEN; XIAOJIE GUO; HANNIN. is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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