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Jeongwhan Choi

@jeongwhanchoi

Postdoc. @KAIST | Ph.D. @Yonsei Univ. Graph machine learning & Transformer jeongwhanchoi.com

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19.11.2024
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Latest posts by Jeongwhan Choi @jeongwhanchoi

Big thanks to Jongwoo Kim for his hard work, Woosung Kang, and my advisor, Noseong Park, for his guidance!

On a personal note, all glory to God for the wisdom and faith given throughout this research.

30.01.2026 05:59 ๐Ÿ‘ 0 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

๐‘ฏ๐’๐’˜ ๐’˜๐’† ๐’”๐’๐’๐’—๐’†: We propose ๐ฬฒฬณฬฒ๐จฬฒฬณฬฒ๐ฬฒฬณฬฒ๐žฬฒฬณฬฒ๐ฬฒฬณฬฒ๐…ฬฒฬณฬฒ๐ฬฒฬณฬฒ, which pre-trains on synthetic graphs generated from random graph models in network science with controlled structural properties. One checkpoint, in-context learning at inference. No ๐‘Ÿ๐‘’-๐‘ก๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘” or ๐‘“๐‘–๐‘›๐‘’-๐‘ก๐‘ข๐‘›๐‘–๐‘›๐‘” needed for new graphs.

30.01.2026 05:59 ๐Ÿ‘ 0 ๐Ÿ” 0 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0

๐‘พ๐’‰๐’‚๐’• ๐’˜๐’† ๐’”๐’๐’๐’—๐’†: GNNs require separate training for each graph due to varying homophily levels, community structures, and feature distributions. Collecting diverse real-world graph data for pre-training is difficult, and using AI-generated synthetic data can be unstable.

30.01.2026 05:59 ๐Ÿ‘ 0 ๐Ÿ” 0 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
Learning Posterior Predictive Distributions for Node Classification... One of the most challenging problems in graph machine learning is generalizing across graphs with diverse properties. Graph neural networks (GNNs) face a fundamental limitation: they require...

Our paper "๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐๐จ๐ฌ๐ญ๐ž๐ซ๐ข๐จ๐ซ ๐๐ซ๐ž๐๐ข๐œ๐ญ๐ข๐ฏ๐ž ๐ƒ๐ข๐ฌ๐ญ๐ซ๐ข๐›๐ฎ๐ญ๐ข๐จ๐ง๐ฌ ๐Ÿ๐จ๐ซ ๐๐จ๐๐ž ๐‚๐ฅ๐š๐ฌ๐ฌ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐Ÿ๐ซ๐จ๐ฆ ๐’๐ฒ๐ง๐ญ๐ก๐ž๐ญ๐ข๐œ ๐†๐ซ๐š๐ฉ๐ก ๐๐ซ๐ข๐จ๐ซ๐ฌ" has been accepted to #ICLR2026. See you in Rio! ๐Ÿ‡ง๐Ÿ‡ท

๐Ÿ“„ OpenReview: openreview.net/forum?id=Fmx...

30.01.2026 05:59 ๐Ÿ‘ 1 ๐Ÿ” 0 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
Research Track Program Committee โ€“ KDD 2025

Iโ€™ve been recognized as an Outstanding Reviewer (top 10% of reviewers) for both the August and February cycles of #KDD2025 in the research track!

kdd2025.kdd.org/research-tra...

11.06.2025 07:21 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Got the #IJCAI2025 decisions today. Our paper "Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain" made it in!
The other one got rejected though. Win some, lose some I guess.

29.04.2025 13:56 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0

The deadlines for #CIKM2025 are coming up in three weeks! There is still time to prepare your papers for submission. Check out all the CFPs and full timeline at cikm2025.org!

26.04.2025 23:23 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
14.12.2024 00:30 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Had a presentation on our "Graph Convolutions Enrich the Self-Attention in Transformers!" paper at #NeurIPS2024! Really enjoyed receiving lots of interesting questions about the potential applications of our work.

12.12.2024 18:02 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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I totally agree with Sepp Hochreiter's message that "AI does not End with Scaling". I hope my research direction will follow a similar direction. Had great conversations with him after his inspiring invited talk. Grateful for these meaningful interactions at #NeurIPS2024.

12.12.2024 18:01 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Iโ€™ll be presenting our work โ€œGraph Convolutions Enrich the Self-Attention in Transformers!โ€ in #NeurIPS2024 ๐Ÿ‡จ๐Ÿ‡ฆ!

๐Ÿ“ Location: East Exhibit Hall A-C #2100
๐Ÿ—“๏ธ Date: Wed 11 Dec
โฐ Time: ๐Ÿ•Ÿ 4:30 p.m. - ๐Ÿ•ข 7:30 p.m. PST.

More details can be found on this #NeurIPS page: lnkd.in/g47GSuZp

10.12.2024 18:17 ๐Ÿ‘ 1 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

I'm making a list of AI for Science researchers on bluesky โ€” let me know if I missed you / if you'd like to join!

go.bsky.app/AcP9Lix

10.11.2024 00:11 ๐Ÿ‘ 247 ๐Ÿ” 91 ๐Ÿ’ฌ 160 ๐Ÿ“Œ 5

I made a #starterpack for computational math ๐Ÿ’ป๐Ÿงฎ so please
1. share
2. let me know if you want to be on the list!

(I have many new followers which I do not know well yet, so I'm sorry if you follow me and are not on here, but want to - drop me a note and I'll add you!)

go.bsky.app/DXdZkzV

18.11.2024 15:08 ๐Ÿ‘ 59 ๐Ÿ” 28 ๐Ÿ’ฌ 29 ๐Ÿ“Œ 1

Yeah here's my geometry processing starter pack. I hand-picked researchers and practitioners either in geometry processing or not, and some people are definitely missing so,
go.bsky.app/Dqw66qn

18.11.2024 17:59 ๐Ÿ‘ 52 ๐Ÿ” 18 ๐Ÿ’ฌ 7 ๐Ÿ“Œ 1
Preview
Machine Learning on Graphs Join the conversation

Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp

16.11.2024 01:09 ๐Ÿ‘ 34 ๐Ÿ” 22 ๐Ÿ’ฌ 18 ๐Ÿ“Œ 0