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
4/2024
Lance's team won 1st Place in VU's AI Showcase by the Data Science Institute!
4/2024
Our tutorial on ``Data Quality-Aware Graph Machine Learning'' is now online and was presented at SDM'24!
4/2024
Yu receives the Best Doctoral Forum Poster Runner-Up Award at SDM'24!
4/2024
Anne is awarded the Department of Energy (DOE) Computational Science Graduate Fellowship!
4/2024
Yuying's paper ''Fairness and Diversity in Recommender Systems: A Survey'' is accepted at ACM TIST!
3/2024
Catherine successfully defended her MS thesis ''An Analysis of Local Neighborhood-based Paradoxes in Signed Social Networks!''
3/2024
Tyler and Yu are invited to serve as Student Travel Award Chair at CIKM'24!
3/2024
Yu is awarded Vanderbilt's Outstanding Doctoral Student Award! (one of three for the whole university)
3/2024
Yu will join University of Oregon as a Tenure-track Assistant Professor in Computer Science starting Fall'24!
2/2024
Laura is selected for the 2024 Vanderbilt Undergraduate Summer Research Program (VUSRP)!
2/2024
Yu's paper ''Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation'' is accepted at WWW'24!
1/2024
Yuying's paper ''Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness'' is accepted at WWW'24!
1/2024
Tyler is invited to give a talk ''Network Science for Social Good'' in the Frist Center Salon Series!
1/2024
Yu's paper ''A Topological Perspective on Demystifying GNN-Based Link Prediction Performance'' is accepted at ICLR'24!