Graph Neural Networks for Natural Language Processing: A Survey

By Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long. Found. Trends Mach. Learn., 2023

393 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/da923d1ccfd4927fae7c2a835c7979e3a4dec159

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexandre Matton
2. Valentina Semenova
3. Renaud Lambiotte
4. Rachel Han
5. John Pougué-Biyong
6. Doyne Farmer
7. Aerin Kim

Citations in the corpus

• A Survey on Vision--Language--Action Models for Embodied AI (2024, neutral): “In contrast, MiniGPT-4 freezes both the vision encoder (BLIP-2’s ViT + Q-Former [7]) and the Vicuna LLM [108], only training the linear layer.”
• DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates (2021, methodology): “GRL methods have become increasingly popular for natural language processing [43].”