NDS Lab

Network and Data Science Lab
- Director: Dr. Tyler Derr (@TylersNetwork)

[NDS Lab @VU_NDS_Lab]

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: https://t.co/9g3VB1Be4J

[NDS Lab @VU_NDS_Lab]

Delighted to share that Tyler (@TylersNetwork ) was invited as student travel award chair for WSDM' 24 and KDD' 24!

[NDS Lab @VU_NDS_Lab]

Excited to share that Tyler (@TylersNetwork) is invited as an Associate Editor for Tsinghua Science and Technology (https://t.co/ylwE2aPFw4)!

[NDS Lab @VU_NDS_Lab]

Glad to share that our tutorial " Data quality-aware graph machine learning", led by Yu Wang (@YuWVandy), was accepted at SDM'24!

[NDS Lab @VU_NDS_Lab]

Congratulations to our PhD student, Yunchao (Lance) Liu (@YunchaoLanceLiu), to be one of the finalists in Vanderbilt 3MT @3MT_official @VUGradSchool !

[Yunchao (Lance) Liu (刘运超) @YunchaoLanceLiu]

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. 🤩🤩🤩

[NDS Lab @VU_NDS_Lab]

Excited to share that Yu Wang (@YuWVandy)'s intern paper, “Knowledge Graph Prompting for Multi-Document Question Answering” https://t.co/9g3VB1AGfb, has been accepted to NeurIPS 2023 GLFrontiers Workshop! Congratulations!

[Tyler Derr @TylersNetwork]

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

[Tyler Derr @TylersNetwork]

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
https://t.co/Dohyi7xFaO

More of her work seen below and details at: https://t.co/VegMNrg6Wl

[Tyler Derr @TylersNetwork]

🎉🏆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
https://t.co/TeCs1DDqHY

[Yunchao (Lance) Liu (刘运超) @YunchaoLanceLiu]

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 https://t.co/vxzsKFaZNv
A blog explaining the model can be found at https://t.co/xPJtMEdB8N

[Yunchao (Lance) Liu (刘运超) @YunchaoLanceLiu]

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: https://t.co/UFxIrK3zOz
blog:
https://t.co/Yex5XJuiJI

[wang yu @YuWGoGo]

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: https://t.co/zhyGB010nx

[Tyler Derr @TylersNetwork]

📢Collaboration-Aware Graph Neural Networks for Recommendation Systems

Our code and paper are available here: https://t.co/6yPZB6JIgT

[Vanderbilt Computer Science @Vanderbilt_CS]

Be sure to join the next Machine Learning Lunch Seminar today, Monday, April 25th at 12:15 PM with Prof. @Diyi_Yang.

[NDS Lab @VU_NDS_Lab]

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! 🎉

[PyTorch @PyTorch]

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: https://t.co/5Vsn1ykXxA

[NVIDIA AI Developer @NVIDIAAIDev]

Congratulations Lance! We look forward to seeing more on this important project.

[NDS Lab @VU_NDS_Lab]

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

[Yunchao (Lance) Liu (刘运超) @YunchaoLanceLiu]

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

[Vagelis Papalexakis @vagelispapalex]

Had a blast virtually giving a talk at the @Vanderbilt_CS
ML Lunch seminar on #tensors for #multiaspect #graphmining

Thanks so much @TylersNetwork and @SKolouri and everyone who attended for hosting and great discussions!

[NDS Lab @VU_NDS_Lab]

Happy to finally be able to share our comprehensive chapter covering recent SOTA GNN methods using Self-supervised Learning (SSL)!

🚨We also maintain an associated GitHub repo that links to the corresponding codes:
https://t.co/g6AbcEKp88

[wang yu @YuWGoGo]

Have limited labeled data but still want to use GNNs? Check out our book chapter about leveraging SSL for GNNs. It has been published in the most comprehensive GNN book (https://t.co/KNZ1f99CVe) to date! Thank you @TylersNetwork @weisshelter all for the fantastic co-work!