
Sayan Ranu
@SayanRanu
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Associate Professor in CS@IIT Delhi. Interested in Machine learning for graphs. Hobbies: Cricket, fitness, Traveling.
New Delhi, India
Joined July 2022
Excited to attend @iclr_conf !. We'll present 3 works. 1. Graph Condensation (. 2. Algorithm discovery ( at DL4C workshop. 3. Fusing GNN models ( at Neural Network Weights workshop. #ICLR25.
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RT @nipun_batra: 🚀 Excited to host the @Indiaacm Summer School 2025 on AI for Social Good at IIT Gandhinagar @iitgn (June 2–13)!. Website….
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RT @roydanroy: Oooooh. A rebuttal acknowledgment! I feel so special! Someone clicked a button!.
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Tonight we celebrate Dr. @sahim1992! Super proud to witness your journey from student to scholar. The world is ready for your brilliance!
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RT @cseiitd: CSE IITD is now officially on X! 🎓 Follow us for updates on research, events, faculty achievements, and academic opportunities….
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Bonsai will appear at @iclr_conf!. Most works on graph condensation are a "scam." What's the point if condensation requires full dataset training anyway?. Bonsai provides the much-needed course correction!. PDF & Code: @500kmph @haribamsuri #ICLR2025.
Graph distillation compresses massive graph datasets into tiny versions that train GNNs as effectively as the original. But current methods have a huge problem. They require training on the full data first—which defeats the whole purpose!. Enter Bonsai(.
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Honored and humbled to receive the ACM India Early Career Researcher (ECR) 2024 Award, Honorable Mention.
🎉 ACM India ECR Award 2024.🏆 Winner: Dr. Arkaprava Basu (IISc) for breakthroughs in memory management for GPUs/CPUs. 🎖️ Honorable Mention: Dr. Sayan Ranu (IIT Delhi) for pioneering graph ML applications. 💡 Recognizing early-career innovators in computing!.👏 Congrats!
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Excited to announce that FUGAL (Feature-fortified Unrestricted Graph Alignment) will be presented at @NeurIPSConf today!. 📍 West Ballroom A-D, Booth #5900.🗓️ Dec 11th, 4:30 p.m. PST — 7:30 p.m. Let's chat if you're at NeurIPS! 💬. @VNSAditya2002 @DavideMottin .#NeurIPS2024
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Excited to share that our work on explaining GNNs is being presented at @NeurIPSConf today!. Catch us at:.🗓️ When: 11 a.m. - 2 p.m. PST.📍 Where: East Exhibit Hall A-C, Booth #3107.Come by to chat! 💬. with @sourav_medya @Armagaan7 @ManthanDalmia .#NeurIPS2024
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RT @chaitjo: The LoG New Delhi meetup is under way at IT Delhi @YardiScAI - amazing venue and organisation!. #LoGNewDelhi @LogConference h….
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RT @ShuiwangJi: @iclr_conf All ICLR AC/SAC/Chairs: Please ignore all reviews and scores with no response after author rebuttals.
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RT @j_foerst: Dear reviewers, please engage. Dear ACs, please remind the reviewers to engage. Thank you everyone!.
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RT @iclr_conf: 🗣️ ICLR response period ends soon -- remember to check author responses, ask follow-up questions, and revise scores. Revie….
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Come attend LOG meetup at IIT Delhi on 26th November. If you work on graph ML or interested in this area, this is the place to be! 🤓🤖 Register at #GraphML #IITDelhi #MachineLearning. @srikidambi @haribamsuri @YardiScAI.
A recap of our 14(!) LoG2024 Meetups:. 🇺🇸 Stanford.🇳🇱 Amsterdam.🇬🇧 Oxford .🇺🇸 New York .🇮🇳 New Delhi .🇨🇦 Vancouver .🇺🇸 Phoenix .🇩🇪 Aachen .🇳🇴 Tromsø.🇫🇷 Paris .🇨🇳 Kunshan .🇮🇱 Tel Aviv .🇮🇹 Siena .🇸🇪 Uppsala.
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BONSAI 🌿fixes this fundamental paradox. Here's how:.* Mimics input space (not gradients).* Runs on CPU.* Works for ANY GNN!. What you get:.* Train on single-GPU machines.* Cut computation time.* Reduce carbon emissions. @500kmph, @haribamsuri
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