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

9/2022
Shivam's paper ''THINK: Temporal Hypergraph Hyperbolic Network'' is accepted at IEEE ICDM'22!
8/2021
Lance's preprint Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery is now online!
8/2022
Tyler gave an invited talk ''Machine Learning on Graphs'' at Oak Ridge National Laboratory!
8/2021
Yu's paper Imbalanced Graph Classification via Graph-of-Graph Neural Networks is accepted at ACM CIKM'22!
7/2021
Yu's preprint Collaboration-Aware Graph Convolutional Networks for Recommendation Systems is now online!
6/2022
Tyler invited to serve as Associate Editor for Elsevier Big Data Research!
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!

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