Welcome!

We are the Network and Data Science (NDS) lab at Vanderbilt University, led by Tyler Derr. Our research lies in social computing, data mining, and machine learning, especially social network analysis, deep learning on graphs, and data science for social good with applications in education, health, political science, and autism research.

News

6/2022
Yu's paper Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is accepted to MLG Workshop at KDD'22
6/2022
Yuying's first paper Inferring EHR Utilization Workflows through Audit Logs in NDS Lab is accepted to AMIA'22!
5/2022
Yu's first-author paper Fair View Graph Neural Network for Fair Node Representation Learning is accepted to KDD'22!
5/2022
3 papers accepted to KDD'22!
5/2022
Our research was highlighted in VU Provost C. Cybele Raver's keynote at The Vanderbilt Summit on Modern Conflict
4/2021
CFP: Our workshop Graph Techniques for Adversarial Activity Analytics (GTA3) is accepted to IEEE BigData'22!
5/2022
Yu awarded Vanderbilt's C. F. Chen Best Paper Award in Computer Science for his paper Tree Decomposed Graph Neural Network!
4/2021
CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to IEEE ICDM'22!
3/2021
Yi receives the Dean's Graduate Fellowship Award and will join NDS Lab as a new PhD in Fall 2022!
1/2022
Yuying and Yu receive Student Travel Awards to present at SDM'22!
3/2022
Lance receives Nvidia Academic Hardware Grant for his project on Interpretable 3D Graph Neural Networks for Drug Discovery!
3/2022
Yu accepts his offer to join The Home Depot's Data Science group as a research intern for Summer'22!
3/2022
Tyler receives Outstanding PC Member Award at WSDM'22! (Credit to NDS subreviewers Yu, Yuying, Lance, Zhaoqing)
3/2021
Yuying is accepted to present her work Bridging the Gap between Fairness and Explainability at SDM'22 Doctoral Forum!

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