Kijung Shin
@isolated_node
Associate Professor at KAIST AI & EE (Data Mining, Graph Algorithms, Network Science)
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[Postdoc on Graph Learning in South Korea] We are looking for a postdoc researcher to join our project on Graph Foundation Model at KAIST in South Korea. - Chanyoung Park: dsail.kaist.ac.kr/professor/ - Jaemin Yoo: jaeminyoo.github.io - Kijung Shin: kijungs.github.io
![isolated_node's tweet image. [Postdoc on Graph Learning in South Korea]
We are looking for a postdoc researcher to join our project on Graph Foundation Model at KAIST in South Korea.
- Chanyoung Park: dsail.kaist.ac.kr/professor/
- Jaemin Yoo: jaeminyoo.github.io
- Kijung Shin: kijungs.github.io](https://pbs.twimg.com/media/Gr8WrvPXoAAJBZg.png)
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 arxiv.org/abs/2505.20742
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.
A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide sites.google.com/view/hnn-tutor…
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.
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: cikm2025.org/calls/short-re…
Our survey on hypergraph mining with Geon Lee, @VezenBu, and Tina Eliassi-Rad has been officially published in ACM Computing Surveys! dl.acm.org/doi/10.1145/37…
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: cikm2025.org More information will be shared in the coming weeks.
The submission deadline for our graph learning workshop has been extended to March 1!
🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models - Venue: Sydney, Australia - Deadline: February 22, 202 - Website: pakdd-glfm-2025.github.io We welcome submissions on graph learning with foundation models, including both full and short papers!
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!
🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models - Venue: Sydney, Australia - Deadline: February 22, 202 - Website: pakdd-glfm-2025.github.io We welcome submissions on graph learning with foundation models, including both full and short papers!
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!
🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models - Venue: Sydney, Australia - Deadline: February 22, 202 - Website: pakdd-glfm-2025.github.io We welcome submissions on graph learning with foundation models, including both full and short papers!
🚀Call for Papers: PAKDD 2025 Workshop on Graph Learning with Foundation Models - Venue: Sydney, Australia - Deadline: February 22, 202 - Website: pakdd-glfm-2025.github.io We welcome submissions on graph learning with foundation models, including both full and short papers!
🚀 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)
⏰ Only 3 days left! ⏰ The discounted rate for the hotel booking ($229) is due by Sep. 16th! Please visit dsaa2024.dsaa.co/registration.h… for more details
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
🎓 Are you a student interested in attending IEEE DSAA 2024 in San Diego? ☀️ Don't miss the Student Travel Award opportunity! 📢 Apply now at dsaa2024.dsaa.co/travel_grant.h… ⏰ Deadline is August 14
🚀 Thrilled to announce our tutorial on hypergraph neural networks at #KDD 2024 w/ Sunwoo Kim, Soo Yong Lee, Yue Gao, @alessiaantelmi , and @makgyver17 ! - Survey: arxiv.org/abs/2404.01039 - Slides: sites.google.com/view/hnn-tutor… @kdd_news
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