ML Anthology

A Gentle Introduction to Graph Neural Networks

Benjamin Sanchez-Lengeling, Emily Reif, Adam Pearce, Alexander B. Wiltschko
Distill 2021
doi:10.23915/distill.00033 /distill/2021/sanchezlengeling2021distill-gentle/

Abstract

Distill articles are interactive publications and do not include traditional abstracts. This summary was written for the ML Anthology. Provides an accessible introduction to graph neural networks, explaining how neural networks can process graph-structured data by passing messages between nodes, edges, and global context while preserving graph symmetries.

Distill Code Semantic Scholar

Cite

Text

Sanchez-Lengeling et al. "A Gentle Introduction to Graph Neural Networks." Distill, 2021. doi:10.23915/distill.00033

Markdown

[Sanchez-Lengeling et al. "A Gentle Introduction to Graph Neural Networks." Distill, 2021.](https://mlanthology.org/distill/2021/sanchezlengeling2021distill-gentle/) doi:10.23915/distill.00033

BibTeX

@article{sanchezlengeling2021distill-gentle,
  title     = {{A Gentle Introduction to Graph Neural Networks}},
  author    = {Sanchez-Lengeling, Benjamin and Reif, Emily and Pearce, Adam and Wiltschko, Alexander B.},
  journal   = {Distill},
  year      = {2021},
  doi       = {10.23915/distill.00033},
  url       = {https://mlanthology.org/distill/2021/sanchezlengeling2021distill-gentle/}
}