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, and autism research.

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

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!

2023

12/2023
Yu's paper ''Knowledge Graph Prompting for Multi-Document Question Answering'' received the Best Paper Award in the New Frontiers of Graph ML workshop at NeurIPS’24!
12/2023
Yuying's paper ''Leveraging Opposite Gender Interaction Ratio as a Path Towards Fairness in Online Dating Recommendations Based on User Sexual Orientation'' is accepted at AAAI'24!
12/2023
Yu's paper ''Knowledge Graph Prompting for Multi-Document Question Answering'' is accepted at AAAI'24!
11/2023
Our tutorial ''Data Quality-Aware Graph Machine Learning'' led by Yu, is accepted at SDM'24!
11/2023
Tyler invited to serve as an Associate Editor of Tsinghua Science and Technology!
11/2023
Lance is selected as a Finalist in Vanderbilt's 3MT Competition!
11/2023
Tyler is invited to serve as Student Travel Award Chair at KDD'24!
11/2023
Our Machine Learning on Graphs (MLoG) Workshop was accepted at WSDM'24 (currently on its 5th iteration)!
11/2023
Our paper ''An In-depth Analysis of the Broken Ties on Twitter'' is accepted at IEEE BigData'23!

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