# LG AI Research — [ICML 2022] Part 3: Neural Combinatorial Optimization studies

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-10-05
- Category: research-paper
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=258
- Record: https://forck.live/items/4928-icml-2022-part-3-neural-combinatorial-optimization-studies
- Subject: EXAONE

Three LG AI Research researchers present selected studies from ICML 2022. Part 3, by Hanseul Jeong, focuses on Neural Combinatorial Optimization (NCO) and introduces two studies: LeNSE, a method for large-scale combinatorial optimization using subgraph embeddings and reinforcement learning to navigate subgraphs efficiently.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=258:

> Three researchers from LG AI Research have selected meaningful studies that were shared at the conference. - Part 3: Neural Combinatorial Optimization studies – Hanseul Jeong, Applied AI Research Lab

---

Record: https://forck.live/items/4928-icml-2022-part-3-neural-combinatorial-optimization-studies
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md
