@TYounesian

PhD researcher @vuamsterdam | Machine Learning | Knowledge Graphs

 Amsterdam
Joined February 2020
  • Tweets34
  • Following168
  • Followers133
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#2 🍇 GRAPES: At Tuesday's ELLIS Unconference poster session. We study adaptive graph sampling for scaling GNNs! Work with @TYounesian, @danieldazac, @ThiviyanSingam, @pbloemesquire arxiv.org/abs/2310.03399
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Taraneh Younesian retweeted
Taraneh Younesian@TYounesian23 Jul 2025
If you want to reduce the size of your graph while still maintaining an accurate GNN, which nodes should you select? Which nodes are influential in a graph? Check out our TMLR paper, GRAPES, to get your answer:
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Link to the paper: openreview.net/forum?id=QI0l… Collaboration with @danieldazac, @EmilevanKrieken,@ThiviyanSingam, @pbloemesquire
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🍇GRAPES is a learnable and adaptive graph sampling method. It utilizes GFlowNets and reinforcement learning to learn which nodes to sample adaptively based on the task. We show that adaptive sampling is crucial in heterophilous and multi-label graphs.
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If you want to reduce the size of your graph while still maintaining an accurate GNN, which nodes should you select? Which nodes are influential in a graph? Check out our TMLR paper, GRAPES, to get your answer:
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Struggling with scaling RGCNs on large knowledge graphs? Check out "ReWise: A Relation-Wise Sampling Framework" by @TYounesian, @pbloemesquire, and Stefan Schlobach from @VUamsterdam now live at #SemanticsConf! Discover this game-changing approach for efficient RGCN training!
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This work was done together with @pbloemesquire and Stefan Schlobach.
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This week, I'm presenting my work "ReWise" at @SemanticsConf. We introduce a graph sampling framework to scale Relational Graph Convolutional Networks to large multimodal knowledge graphs. Check out our paper at: ebooks.iospress.nl/doi/10.32…
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#GeMSS was a great experience! I learned a lot about Generative AI and met really cool people. Don't miss it next year!
Jes Frellsen@jesfrellsen28 Jun 2024
This year, the fabulous @jmtomczak gave the closing remarks for our second #GenAI summer school (gemss.ai) and revealed that we are brining GeMSS to home of the fantastic @pamattei in Nice in 2025! #GeMSS
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Attending #NeurIPS2023 this week? Interested in neurosymbolic reasoning or scaling GNNs to large graphs? Then, you might want to drop by our posters to learn about ⚡️ A-NESI and 🍇 GRAPES (@glfrontiers workshop) 1/4
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Work done by me, @ThiviyanSingam, @EmilevanKrieken, @danieldazac, and @pbloemesquire.
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If you’re going to #NeurIPS2023, check out our poster GRAPES in GLFrontiers workshop (December 15th)! 🍇 GRAPES is a GFlowNet-based adaptive graph sampling method to scale GNNs to large graphs. Paper: arxiv.org/abs/2310.03399
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Taraneh Younesian retweeted
Daniel Daza@danieldazac9 Dec 2023
I'm at #NeurIPS2023 for the first time! With my collaborators, we'll be presenting 🕵️CQD-A: A data efficient method for answering knowledge graph queries arxiv.org/abs/2301.12313 🍇 GRAPES: Scaling GNN training with GFlowNets arxiv.org/abs/2310.03399 Feel free to reach out!
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