Kijung Shin

Associate Professor at KAIST AI & EE (Data Mining, Graph Algorithms, Network Science)

[KAIST AI @KAIST_AI]

🚀 KAIST AI is recruiting faculty members in Seoul!🌙
Planning to attend ICML? Join us there and help shape a brighter future of AI🌟
https://t.co/XZEbzfzohC

[NetScience @net_science]

A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights https://t.co/MCdxxHspLN

[Kijung Shin @isolated_node]

Can an LLM truly have a mental disorder, or is it only simulating one? 👇

[Soo Yong Lee @SooYongLee11]

[1/n] Can LLMs instantiate computations of mental disorders—not just talk like they’re “depressed” or “anxious”?

In our new paper, “Emergence of psychopathological computations in large language models”, we show that:

• Structure: LLMs encode computational structures of psychopathology that can be mechanistically measured and intervened on
• Function: Executing the computations leads LLMs to engage in problematic behaviors
• Emergence: As LLMs scale, these dysfunctional computations become more structured and more effective

This suggests that some “psychopathology-like” behaviors in LLMs may reflect internal computations, not mere superficial mimicry—raising both new AI safety risks concerns and promise for powerful, new tools for psychiatric research.

🔗 Full paper: https://t.co/Jfj8alHsuV

#AI #LLM #AISafety #AIEthics #ComputationalPsychiatry #MechInterp #SAE #Psychology #MentalHealth #mentaldisorder #Emergence

[Fanchen Bu @VezenBu]

📢 New Preprint! A Survey on Centrality and Importance Measures in Hypergraphs
🔹 A unified taxonomy covering diverse measures & empirical insights
Authors: Jaewan Chun, Fanchen Bu, Yeongho Kim, Atsushi Miyauchi, Francesco Bonchi, & Kijung Shin
📄 https://t.co/mG443In9Fk

[Kijung Shin @isolated_node]

We can realize GNNs as LLM prompt programs, making GNNs more transparent and interpretable!

Details can be found in our paper 'Hello, World!': Making GNNs Talk with LLMs, which will appear in Findings of EMNLP 2025

https://t.co/KZmREgtviY

[Atsushi Miyauchi @Atsushi_Miyauci]

Excited to co-chair the Graph Algorithms and Modeling for the Web track at @TheWebConf 2026 with @isolated_node! Send us your best Graph papers: abstracts due Sep 30, papers due Oct 7.

[ACM CIKM 2025 @cikm2025]

A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
https://t.co/mhXBIgrq4t

[ACM CIKM 2025 @cikm2025]

Now we welcome our #CIKM2025 Short Paper Program Co-Chairs!
We're pleased to introduce Kijung Shin (@isolated_node), Bryan Hooi (@BryanHooi1), and Lifang He, who will be leading the Short Paper track.

[ACM CIKM 2025 @cikm2025]

Are you planning to submit a short paper to #CIKM2025? The call for short papers is available on our website!

🗓️May 30 is the abstract deadline! Check out all the details and submission guidelines at: https://t.co/lWWGvitytZ

[Kijung Shin @isolated_node]

Our survey on hypergraph mining with Geon Lee, @VezenBu, and Tina Eliassi-Rad has been officially published in ACM Computing Surveys!
https://t.co/L6RDauVE6m

[ACM CIKM 2025 @cikm2025]

Hello World!

We are pleased to announce that #CIKM2025 will be held in Seoul, South Korea, November 10-14, 2025. Our official website is now available at: https://t.co/5rErq9JWSd

More information will be shared in the coming weeks.

[Kijung Shin @isolated_node]

The submission deadline for our graph learning workshop has been extended to March 1!

[Kijung Shin @isolated_node]

🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models
- Venue: Sydney, Australia
- Deadline: February 22, 202
- Website: https://t.co/zpT5pER2EB

We welcome submissions on graph learning with foundation models, including both full and short papers!

[Kijung Shin @isolated_node]

Are you disappointed with your #PAKDD notification results? Submit a revised version to our #GLFM workshop at PAKDD—accepted papers will be published in the workshop proceedings!

[Kijung Shin @isolated_node]

🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models
- Venue: Sydney, Australia
- Deadline: February 22, 202
- Website: https://t.co/zpT5pER2EB

We welcome submissions on graph learning with foundation models, including both full and short papers!

[Kijung Shin @isolated_node]

Additional news! Accepted papers for our PAKDD 2025 Workshop will be published in dedicated Springer proceedings. We invite you to submit your work on graph learning!

[Kijung Shin @isolated_node]

🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models
- Venue: Sydney, Australia
- Deadline: February 22, 202
- Website: https://t.co/zpT5pER2EB

We welcome submissions on graph learning with foundation models, including both full and short papers!

[Kijung Shin @isolated_node]

🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models
- Venue: Sydney, Australia
- Deadline: February 22, 202
- Website: https://t.co/zpT5pER2EB

We welcome submissions on graph learning with foundation models, including both full and short papers!

[IEEE DSAA @IEEEDSAA]

🚀 Excited to announce the panelists for our discussion on Data Science in the Age of GenAI at IEEE DSAA!
- Vipin Kumar (University of Minnesota)
- @B1ar2n3a (UC San Diego)
- @JessieLzh (Yunqi Academy of Engineering)
- @KamalikaDas (Intuit)
- @robinomial (USC)

[IEEE DSAA @IEEEDSAA]

⏰ Only 3 days left! ⏰ The discounted rate for the hotel booking ($229) is due by Sep. 16th!

Please visit https://t.co/bzLuLEgF1W for more details

[IEEE DSAA @IEEEDSAA]

We are excited to announce our esteemed keynote speakers for DSAA 2024!
- Ed H. Chi (Google DeepMind) @edchi
- Leman Akoglu (Carnegie Mellon University) @leman_akoglu
- Yan Liu (University of Southern California) @yanliu_usc

[IEEE DSAA @IEEEDSAA]

🎓 Are you a student interested in attending IEEE DSAA 2024 in San Diego?
☀️ Don't miss the Student Travel Award opportunity!
📢 Apply now at https://t.co/VM32sHuTbd
⏰ Deadline is August 14

[Kijung Shin @isolated_node]

🚀 Thrilled to announce our tutorial on hypergraph neural networks at #KDD 2024 w/ Sunwoo Kim, Soo Yong Lee, Yue Gao, @alessiaantelmi , and @makgyver17 !
- Survey: https://t.co/Q1dPhirNok
- Slides: https://t.co/G4RGbq2y3k

@kdd_news