# PDE Approaches to Graph Analysis

arXiv: https://arxiv.org/abs/1505.00185 · HTML: https://mlsanity.com/paper/1505.00185/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Apr 2015.

## Built on by (most cited first, 3 of 3)

- [Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction](https://mlsanity.com/paper/2410.14240/) (2024)
- [Modeling Advection on Directed Graphs using Mat'ern Gaussian Processes for Traffic Flow](https://mlsanity.com/paper/2201.00001/) (2021)
- [A deep learning approach to solve forward differential problems on graphs](https://mlsanity.com/paper/2210.03746/) (2022)

## Abstract (arXiv)

This paper surveys and discusses recent work adapting partial differential equation (PDE) models to discrete structures.