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Posts with #GraphLearning

#GraphLearning

Public posts on X that use #GraphLearning.

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  1. Jure Leskovec✓@jure
    Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now:
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  7. Daniele Malitesta@dmalitesta
    Pre-print and code for our #RecSys2024 @ACMRecSys paper are now out! Check them out 🚀🚀 * Pre-print: * Code: Don't forget to save the date of our presentation: 📅 October 16, 2024 (#GraphLearning session
    Daniele Malitesta @dmalitesta
    I’m happy to share “A Novel Evaluation Perspective on #GNNs-based Recommender Systems through the Topology of the User-Item Graph” has been accepted to the #reproducibility track of #RecSys2024 @ACMRecSys! w/ @scne @alberto_mancino @walteranelli @TommasoDiNoia @DiSciascioEugen
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  10. Nils M. Kriege@nmkriege
    🎓 PhD Position in Graph Learning 📍 University of Vienna We seek a motivated PhD student with strong interest in machine learning, graph theory & mathematical foundations. 🗓 Deadline: 26.03.2026 👉 Apply here: #PhD #GraphLearning #Hiring
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  15. Bahare Fatemi@BahareFatemi
    Join us at #NeurIPS2023 in Room R06-R09 (Level 2) for an expo talk panel on Graph Learning Meets Artificial Intelligence. #GraphLearning #AI #LLMs
    Anton Tsitsulin @graph_
    🌟 Excited for #NeurIPS2023? Don't miss our "Expo Talk Panel: Graph Learning Meets Artificial Intelligence" 🤖 Join us to learn about the AI × graph learning. Featuring @phanein @BahareFatemi, Sami and yours truly, as well as: 🕸️Game of Thrones 🐉🏰 🕸️TPUs going brr 🚀
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  16. Anton Tsitsulin✓@graph_
    🌟 Excited for #NeurIPS2023? Don't miss our "Expo Talk Panel: Graph Learning Meets Artificial Intelligence" 🤖 Join us to learn about the AI × graph learning. Featuring @phanein @BahareFatemi, Sami and yours truly, as well as: 🕸️Game of Thrones 🐉🏰 🕸️TPUs going brr 🚀
    22189.5K
  18. Ilia Igashov@igashov
    Hi #GraphLearning folks! I am looking for a node-level autoencoder for molecular graphs. With a possibly simple decoder like in VGAEs (Kipf & Welling, 2016). I guess there should be something widely used for molecules but I am struggling to find a good reference. Any ideas?
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  21. Mikel✓@MikelEcheve
    🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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  22. Ujun Jeong@ujun_asu
    Excited to be heading to NeurIPS 2025 next week in San Diego to present the work I did during my internship at Amazon 😄 If you’ll be around, let’s catch up and chat! Paper link: #NeurIPS #graphlearning
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