# LG AI Research — [ICML 2021] Part 3: Spatio-temporal Time-series Forecasting in 2021 ICML

- Company: LG AI Research (lgresearch.ai)
- Announced: 2021-10-05
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=149
- Record: https://forck.live/items/4978-icml-2021-part-3-spatio-temporal-time-series-forecasting-in-2021-icml
- Subject: EXAONE

LG AI Research researchers summarize three parts of selected papers from ICML 2021, with Part 3 focusing on spatio-temporal time-series forecasting, specifically two graph-based papers.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=149:

> The International Conference on Machine Learning 2021 (ICML 2021) is a large-scale international conference that attracts around 70,000 participants each year. This year marks the 38th iteration. It is also one of the most influential conferences in the field of artificial intelligence with thesis acceptance rate of 20% and impact factor of 6.99. Here is a summary of the meaningful research papers shared at the conference, picked by three researchers from LG AI Research who participated in the ICML 2021 held online from July 18 to 24.

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Record: https://forck.live/items/4978-icml-2021-part-3-spatio-temporal-time-series-forecasting-in-2021-icml
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md