Tyler Derr

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Tyler Derr

Tyler Derr

@TylersNetwork

Assistant Professor @VanderbiltU; Network and Data Science Lab @VU_NDS_Lab; Social Network Analysis, Graph Neural Networks, Data Science for Social Good ♻️

Nashville, TN, USA Katılım Nisan 2017
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SIAM Data Mining
SIAM Data Mining@SIAMDataMining·
There’s still time to apply for the #SDM2026 Doctoral Forum! Deadline: May 15 (AoE) Application requires: Dissertation title & abstract + 2-page CV 🔗 More details: siam.org/conferences-ev… Great opportunity to present your work and receive feedback from the SDM community.
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Tyler Derr
Tyler Derr@TylersNetwork·
📣Join us at the KDD 2025 MLoG-GenAI Workshop! 📣 🔗 Workshop Website: mlgraphworkshop.github.io 📆 Date: Monday, August 4, 2025 🕣 Time: 8:30 AM – 12:00 PM 📍 Location: Room 715, Toronto Convention Centre
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wang yu
wang yu@YuWGoGo·
Call for Papers – MLoG-GenAI Workshop@KDD 2025! Submission deadline: May 30th. Workshop Website: mlgraphworkshop.github.io Submissions of papers currently under review or published in proceedings are also welcome. This workshop is non-archival.
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Yu Zhang
Yu Zhang@yuz9yuz·
🚨Call for Papers - 𝗠𝗟𝗼𝗚-𝗚𝗲𝗻𝗔𝗜 @ 𝗞𝗗𝗗 𝟮𝟬𝟮𝟱 Join us at the Workshop on 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝗚𝗿𝗮𝗽𝗵𝘀 in the Era of 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 co-located with #KDD2025! 🌐Website: mlgraphworkshop.github.io 🌐Submission Link: openreview.net/group?id=KDD.o…
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Proxima
Proxima@proximabio·
Announcing Neo-1: the world’s most advanced atomistic foundation model, unifying structure prediction and all-atom de novo generation for the first time - to decode and design the structure of life 🧵(1/10)
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Political Networks
Political Networks@PolNetworks·
Join us for the 2025 Political Networks & Computational Social Science Conference (sites.google.com/view/confpolin…), Aug 11-14 at Harvard & Northeastern, with Duncan Watts delivering the keynote. Workshops: Aug 11-12; panels: Aug 13-14. Submit by March 28:
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Meng Jiang
Meng Jiang@Meng_CS·
Calling all researchers! In this transformative era of #AI, the need for #tech innovations that address societal challenges has never been more important. Submit your abstract & join us at the RISE AI Conference at @NotreDame! Learn more here: lucyinstitute.nd.edu/news-events/ri…
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Xiaorui Liu
Xiaorui Liu@liu_xiaorui·
📅 Important Update: To accommodate the overlap with the KDD paper submission deadline, the KDD workshop proposal deadline has been extended to February 17, 2025 (11:59 PM Anywhere on Earth). Don’t miss this opportunity to be part of KDD 2025! kdd2025.kdd.org/call-for-works… @kdd_news
Xiaorui Liu@liu_xiaorui

🚀 KDD 2025 is now accepting workshop proposals! 🗓️ Deadline for Submission: Feb 10th, 2025 (Note: This is 3 weeks earlier than usual—plan ahead!) 📖 Full Call for Workshop Proposals: kdd2025.kdd.org/call-for-works… Don’t miss this opportunity to shape the future of data science!

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SIGIR 2025
SIGIR 2025@SIGIRConf·
📣 📣 The #sigir2025 LiveRAG Challenge is open at: sigir2025.dei.unipd.it/live-rag-chall… Prizes: - First Prize: $5000 - Second Prize: $3000 - Third Prize: $2000 Deadlines: - Application submission deadline: February 24, 2025 More info? Ask sigir2025-liverag-gen@tii.ae.
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IC2S2
IC2S2@IC2S2·
🚨 #IC2S2’25 Call for Abstract deadline is just around the corner—Feb 24, 2025 Submit your abstract now: ic2s2-2025.org/submit-abstrac… and join us in Norrköping, Sweden. Tutorials announcement coming soon!
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Bo Ni
Bo Ni@BoNi224044·
🚀 New Survey Alert! 🚀 Excited to share our latest survey on Trustworthy Retrieval-Augmented Generation (RAG) for Large Language Models (LLMs)! 🎉 With the increasing adoption of RAG in AI applications—ranging from medical question answering to legal document analysis—ensuring trustworthiness has become a critical challenge. In this survey, we provide: ✅ A comprehensive roadmap for developing trustworthy RAG systems ✅ A structured discussion on six key pillars: Reliability, Privacy, Safety, Fairness, Explainability, and Accountability ✅ A deep dive into existing challenges, methods, and open problems ✅ A review of evaluation metrics and future research directions This work is a collaboration with Zheyuan (Frank) Liu, Leyao Wang, Yongjia LEI, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Xin Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, and Tyler Derr. Huge thanks to my co-authors and advisors for their insights! 📄 Preprint: lnkd.in/dEaWGFTa 🔍 GitHub Reading List: lnkd.in/dXavPb2i We hope this survey serves as a valuable resource for the community! Looking forward to feedback and discussions. Let’s push forward towards more trustworthy AI!
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Polaris
Polaris@Polaris_HQ·
🎥 At #NeurIPS2024, we had the opportunity to chat with the authors of several dataset and benchmarking papers that are relevant to machine learning for drug discovery. First up—a quick interview with the team behind WelQrate! 🧪 The authors curated a collection of 9 small molecule datasets across 5 therapeutic target classes, introduced a hierarchical curation pipeline, and a standardized evaluation framework to help improve the state of benchmarking in small molecule drug discovery. 📄 Read the paper: arxiv.org/abs/2411.09820 We’re excited about the potential of seeing these datasets and benchmarks integrated into Polaris. Stay tuned for updates! 👀 @TylersNetwork @MeilerLab @YunchaoLanceLiu
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