NDS Lab
@VU_NDS_Lab
Network and Data Science Lab - Director: Dr. Tyler Derr (@TylersNetwork)
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Glad to share that @YuWVandy 's paper "Knowledge graph prompting for multi-document QA" has been awarded as the sole best paper in the New Frontier of Graph ML workshop at Neurips! The link to the paper is: arxiv.org/abs/2308.11730
Delighted to share that Tyler (@TylersNetwork ) was invited as student travel award chair for WSDM' 24 and KDD' 24!
Excited to share that Tyler (@TylersNetwork) is invited as an Associate Editor for Tsinghua Science and Technology (ieeexplore.ieee.org/xpl/aboutJourn…)!
Glad to share that our tutorial " Data quality-aware graph machine learning", led by Yu Wang (@YuWVandy), was accepted at SDM'24!
Congratulations to our PhD student, Yunchao (Lance) Liu (@YunchaoLanceLiu), to be one of the finalists in Vanderbilt 3MT @3MT_official @VUGradSchool !
Glad to be one of the finalists in Vanderbilt 3MT @3MT_official @VUGradSchool. It was fun to share my research with others and to listen to talks from different disciplines. 🤩🤩🤩
Excited to share that Yu Wang (@YuWVandy)'s intern paper, “Knowledge Graph Prompting for Multi-Document Question Answering” arxiv.org/abs/2308.11730, has been accepted to NeurIPS 2023 GLFrontiers Workshop! Congratulations!
Congratulations to my PhD student, Yu Wang (@YuWVandy), for being awarded Vanderbilt's Graduate Leadership Anchor Award for Research! 🎉 👏 @VU_NDS_Lab @Vanderbilt_CS @VUEngineering
Five VU students have been announced as winners of the 2023 Graduate Leadership Anchor Awards, which honor the hard work and leadership of graduate students at Vanderbilt. Learn more about the recipients. news.vanderbilt.edu/2023/08/04/fiv…
news.vanderbilt.edu
Five students receive 2023 Graduate Leadership Anchor Awards
he awards identify and honor the hard work and leadership of graduate students at Vanderbilt, recognizing graduate student leaders on a school-wide level. Awards given this year included a service...
Congratulations to my PhD student, Yuying Zhao, for being awarded Vanderbilt's C. F. Chen Best Paper Runner-Up Award in Computer Science! 🎉📷 @VU_NDS_Lab @Vanderbilt_CS @VUEngineering engineering.vanderbilt.edu/ece/Graduate/b… More of her work seen below and details at: yuyingzhao.github.io
🎉🏆Excited to share that I've been awarded the NSF CAREER Award for my research in #NetworkAnalytics! Thanks to everyone who supported me! @Vanderbilt_CS @VUDataScience @VUEngineering #NSF #CAREERAward #DataScience #MachineLearning #AI #BigData engineering.vanderbilt.edu/news/2023/vand…
engineering.vanderbilt.edu
Vanderbilt researcher wins NSF CAREER award to close a gap in network analysis by better modeling...
Tyler Derr, assistant professor of computer science, has won a National Science Foundation CAREER Award to advance network analysis methods for data that inherently contain both positive and negative...
Excited to share our new model MolKGNN has been accepted both by #AAAI23 as a full paper and @LogConference as an extended abstract. The preprint is available at shorturl.at/puEQ5 A blog explaining the model can be found at shorturl.at/dnGQ3
Check out our new work: MolKGNN. It extends convolution to molecule representation learning. It features: 1) lightweight chirality calculation 2) conformation-invariance 3) interpretability. #GNN #DrugDiscovery preprint: biorxiv.org/content/10.110… blog: medium.com/@YunchaoLanceL…
Could we leverage neighborhood interactions to determine neighborhood importance? How would GNNs capable of going beyond 1-WL impact recommendation performance? Check out our paper and find the answers: github.com/YuWVandy/CAGCN
📢Collaboration-Aware Graph Neural Networks for Recommendation Systems Our code and paper are available here: github.com/YuWVandy/CAGCN
Could we leverage neighborhood interactions to determine neighborhood importance? How would GNNs capable of going beyond 1-WL impact recommendation performance? Check out our paper and find the answers: github.com/YuWVandy/CAGCN
Be sure to join the next Machine Learning Lunch Seminar today, Monday, April 25th at 12:15 PM with Prof. @Diyi_Yang.
Congratulations to @nds_vu members for being awarded an "Outstanding Program Committee Member Award" by the ACM Web Search and Data Mining (@WSDMSocial) 2022 conference! 🎉
ChemicalX is a PyTorch and TorchDrug based #deeplearning library for drug pair scoring which predicts drug interactions, polypharmacy side effects and possible synergies, in both a biological and chemical context. Learn more at: github.com/AstraZeneca/ch…
github.com
GitHub - AstraZeneca/chemicalx: A PyTorch and TorchDrug based deep learning library for drug pair...
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022) - AstraZeneca/chemicalx
The library covers 10+ pair scoring models implemented by @cthoyt, @useless_ulysses, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, @sebastiandro, @michaelughetto, Yu Wang, @TylersNetwork and @benjamingyori. It comes with oncology and polypharmacology datasets. 2/🧵
What do you need to predict (💊, 💊) interactions? Sugar, spice, everything nice… and ChemicalX 💥 Check out our library preprint in collaboration with @IndraSysBio, @harvardmed, and @VUDataScience. 🤖 Code: shorturl.at/kpDO0 📜 Paper: shorturl.at/bvzEH 1/🧵
Congratulations Lance! We look forward to seeing more on this important project.
Congratulations to Lance for being awarded the #NVIDIA Academic Hardware Grant for his project on "Interpretable 3D Graph Neural Networks for Drug Discovery" 🎉 Thank you @NVIDIAAIDev for supporting his exciting research direction! Stay tuned for his soon to be released project
Congratulations to Lance for being awarded the #NVIDIA Academic Hardware Grant for his project on "Interpretable 3D Graph Neural Networks for Drug Discovery" 🎉 Thank you @NVIDIAAIDev for supporting his exciting research direction! Stay tuned for his soon to be released project
I'm so happy to share that I'm awarded a Nvidia hardware grant! Absolutely will make the best use of it and help move the scientific field forward! Thank you #NVIDIA @NVIDIAAIDev
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