Papers with graph-related

1 papers
Deep Learning on Graphs for Natural Language Processing (2021.naacl-tutorials)

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Challenge: Graph Neural Networks (GNNs) are powerful tools for non-Euclidean data modeling and are used in many graph-related NLP tasks.
Approach: This tutorial will cover applying deep learning on graph techniques to NLP using Graph Neural Networks (GNNs) Graph4NLP is the first library for researchers and practitioners for easy use of GNNs for various NLP tasks.
Outcome: This tutorial will cover the latest developments in deep learning on graph techniques and their applications in various NLP tasks.

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