# A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes

arXiv: https://arxiv.org/abs/1507.08376 · HTML: https://mlsanity.com/paper/1507.08376/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Jul 2015.

## Built on by (most cited first, 1 of 1)

- [Synergistic Graph Fusion via Encoder Embedding](https://mlsanity.com/paper/2303.18051/) (2023)

## Abstract (arXiv)

We investigate joint graph inference for the chemical and electrical connectomes of the textitCaenorhabditis elegans roundworm. The textitC.elegans connectomes consist of 253 non-isolated neurons with known functional attributes, and there are two types of synaptic connectomes, resulting in a pair of graphs. We formulate our joint graph inference from the perspectives of seeded graph matching and joint vertex classification. Our results suggest that connectomic inference should proceed in the joint space of the two connectomes, which has significant neuroscientific implications.