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 in drug discovery, education, political science, and autism research.
News
1/2023
Yu's paper Collaboration-Aware Graph Convolutional Network for Recommender Systems is accepted at TheWebConf'23!
1/2023
Yuying passes her Preliminary Exam!
2022
12/2022
Yuying accepts her offer to join Visa as a PhD research intern for Summer'23!
12/2022
Yu accepts his offer to join Adobe as a PhD research intern for Summer'23!
12/2022
Yuying and Lance are awarded AAAI-23 Student Scholarships and selected as volunteers!
11/2022
Tyler gave a keynote at the ICDM'22 International Workshop on Knowledge Graphs on ''Overcoming Data Quality Issues in Graph Learning''!
11/2022
Lance's first paper in NDS lab Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery is accepted at AAAI'23!
11/2022
Yuying's paper Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations is accepted at AAAI'23!
11/2022
Tyler gave invited talks on ''Overcoming Data Quality Issues in Graph Learning'' at ORNL Core Universities AI Workshop (at Virginia Tech), Shandong University, North Carolina State University!
10/2022
Yu's paper ''Demystify Degree-related Bias in Link Prediction'' is accepted to ICDM'22 Machine Learning on Graphs (MLoG) Workshop and received their NSF Student Travel Award!"
9/2022
Shivam's paper ''THINK: Temporal Hypergraph Hyperbolic Network'' is accepted at IEEE ICDM'22!
6/2022
Tyler invited to serve as Publicity Chair at KDD'23!
8/2022
Lance's preprint Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery is now online!