Welcome!
We are the Network and Data Science (NDS) lab at Vanderbilt University, led by Tyler Derr. Our research lies in data mining and machine learning, especially deep learning on graphs, social network analysis, and data science for social good with applications such as drug discovery, education, political science, autism research, etc.
We are recruiting PhD students to work with us in the NDS Lab on topics in our general interests (see NDS Lab research interests below). Master’s and undergraduate students within Vanderbilt University and visiting scholars are also welcome. Please see here for position details.
We are grateful to the following for supporting our research:
News
1/2025
Our paper Large Graph Generative Models is accepted at ICLR2025!
1/2025
Our paper ``Demystifying the Power of Large Language Models in Graph Generations'' is accepted at NAACL2025 Findings!
2024
12/2024
Honored to receive the NVIDIA Academic Grant Program Award for our project on Cyclic Peptide Design with NVIDIA's BioNeMo Platform!
12/2024
Bo is selected as AAAI2025 Student Scholar!
12/2024
Leyao received an Honorable Mention for the 2024-25 CRA Oustanding Undergraduate Researcher Award!
12/2024
Bo’s first paper in NDS lab Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective is accepted at AAAI2025!
11/2024
Lance successfully defended his PhD dissertation ''Geometric Deep Learning in Drug Discovery - congratulations, Dr. Liu!
11/2024
Our preprint Personalization of Large Language Models: A Survey is now online!
11/2024
Our preprint SuperWater: Predicting Water Molecule Positions on Protein Structures by Generative AI is now online!
10/2024
Xueqi’s first paper in NDS lab Edge Classification on Graphs: New Directions in Topological Imbalance is accepted at WSDM2025!
11/2024
Allen is awarded the Graduate School Travel Grant to present WelQrate at NeurIPS2024!
11/2024
Our preprint A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions is now online!
11/2024
Our preprint Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs is now online!