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

9/2024
Our paper WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking is accepted at NeurIPS2024!
9/2024
Anne’s first PhD paper ‘’FairNNV: The Neural Network Verification Tool For Certifying Fairness’’ is accepted at ACM Conference on AI in Finance (ICAIF2024)!
8/2024
Our paper A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is accepted at IEEE TKDE!
8/2024
Tyler was invited to serve as Associate Editor for ACM Transactions on Knowledge Discovery from Data (TKDD)!
8/2024
Tyler gave an invited keynote ‘’Ethical AI in Recommender Systems: Fairness, Diversity, and Explainability’’ at the Ethical Artificial Intelligence Methods and Applications (EAI-KDD) Workshop at KDD2024!
7/2024
Our paper Augmenting Textual Generation via Topology Aware Retrieval is accepted at CIKM2024!
7/2024
Bo was accepted into the CIKM 2024 PhD Symposium for his work “Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective”!
7/2024
Our tutorial Data-Quality-Aware Graph Machine Learning is accepted at CIKM2024!
6/2024
Our preprint Edge Classification on Graphs: New Directions in Topological Imbalance is now online!
6/2024
Tyler awarded NSF grant to support student travel for US-based students to attend KDD2024!
6/2024
Our LGGM Text2Graph Generation demo is now live, which is the first large graph generative model that supports generating graphs from textual descriptions!
6/2024
Our preprint Large Graph Generative Models is now online!
5/2024
Our preprint Augmenting Textual Generation via Topology Aware Retrieval is now online!
5/2024
Yuying starts her Summer'24 research internship at Visa Research!

... see all News