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!

11/2023

Tyler gave an invited talk ‘‘Data-Centric AI for Real-World Graph Applications’’ at the ORNL Core Universities AI Workshop at Georgia Tech!

10/2023

Our preprint A Topological Perspective on Demystifying GNN-Based Link Prediction Performance is now online!

11/2023

Tyler is invited to serve as Publicity Chair for DSAA’24!

10/2023

Yu’s intern paper Knowledge Graph Prompting for Multi-Document Question Answering was accepted to NeurIPS 2023 GLFrontiers Workshop!

9/2023

Our preprint A Survey of Graph Unlearning is now online!

9/2023

Our paper '’NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics’’ is accepted at NeurIPS’23 Benchmark and Dataset Track!

9/2023

Yuying accepts her return offer to join Visa Research as a PhD research intern for Summer’24!

9/2023

Yu’s internship work with Adobe has been transformed into a medium article '’Knowledge Graph Prompting: A New Approach for Multi-Document Question Answering’’ and it’s now online!

9/2023

Tyler gave an invited talk ‘‘Enhancing Graph Neural Networks with Data Quality-Aware Learning’’ at the Institute for Artificial Intelligence, Tsinghua University!

9/2023

Tyler invited to serve as an Associate Editor of IEEE Transactions on Big Data!

8/2023

Welcome new MS members!
Qinwen and Xin (Allen) join NDS Lab

8/2023

Welcome new BS members!
Leyao join NDS Lab

8/2023

Our preprint A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is now online!

8/2023

Tyler invited to serve as Student Travel Award Chair at WSDM’24!

8/2023

Bo will join the NDS Lab as a new PhD in Spring 2024!

8/2023

Anne receives the Provost’s Graduate Fellowship and will join the VeriVITAL and NDS Labs as a new PhD in Fall 2023!

8/2023

Xueqi will join the NDS Lab as a transfer PhD in Fall’23 and had received Vanderbilt’s IBM Fellowship Award!

8/2023

Yuying’s KDD’23 Blog article '’Progress and Promise for The Shifting Landscape of Gender in STEM’’ is now online!

7/2023

Our preprint Fairness and Diversity in Recommender Systems: A Survey is now online!

6/2023

Tyler is awarded the NSF CAREER Award!

6/2023

Tyler gave an invited talk ‘‘Towards Data-Centric Graph Learning for Real-World Applications’’ at Max Planck Institute for Mathematics in the Sciences (MPI MiS)!

6/2023

Yuying and Catherine receive Student Travel Awards to participate at KDD’23!

6/2023

Catherine’s paper ‘‘The Friendship Paradox: An Analysis on Signed Social Networks with Positive and Negative Links’’ was accepted to KDD’23 Undergraduate Consortium!

6/2023

Yuying’s paper ‘‘Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio’’ was accepted to MLG Workshop at KDD’23!

6/2023

Our preprint NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics was accepted to the Workshop on Graph Learning Benchmarks at KDD’23 and is now online with new datasets, code, and documentation!

6/2023

Tyler gave an invited talk ‘‘Advanced Graph Analytics for Real-World Applications’’ in the Griffiss Institute’s Tech Talks at Air Force Research Lab Information Directorate!

5/2023

Yuying is awarded Vanderbilt’s C. F. Chen Best Paper Runner-Up Award in Computer Science for her paper Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations!

4/2023

Yu is awarded Vanderbilt’s 2023 Graduate Leadership Anchor Award for Research!

4/2023

Tyler gave an invited talk ‘‘Creating and Leveraging Knowledge Graphs in Real-World Applications’’ at ACM Web Conference during Knowledge Graph Day!

3/2023

Tyler was selected for the Visiting Faculty Research Program (VFRP) of The Air Force Research Laboratory’s Information Directorate (AFRL/RI) and its Information Institute (II)!

3/2022

Yuying is accepted to present her work ‘‘Learning Beyond Utility for Social Good: Fairness, Explainability, and Diversity’’ at SDM’23 Doctoral Forum and received a student travel award!

3/2023

Lance gave an invited talk at Molecular Modeling and Drug Discovery (M2D2) organized by Mila and Valance Discovery presenting his work MolKGNN!

3/2023

CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to IEEE ICDM’23!

3/2023

Yuying’s paper ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering is accepted for presentation at RECOMB-Seq 2023 and publication in iScience!

1/2023

Welcome new BS members!
Macharia join NDS Lab

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!

1/2023

Yu is awarded The American Bureau of Shipping Scholarship!

2022

12/2022

Yuying accepts her offer to join Visa Research 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!

8/2022

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!

8/2022

Tyler gave an invited talk ‘‘Machine Learning on Graphs’’ at Oak Ridge National Laboratory!

8/2022

Yu’s paper Imbalanced Graph Classification via Graph-of-Graph Neural Networks is accepted at ACM CIKM’22!

7/2022

Yu’s preprint Collaboration-Aware Graph Convolutional Networks for Recommendation Systems is now online!

6/2022

Tyler invited to serve as Associate Editor for Elsevier Big Data Research!

6/2022

Yu’s paper Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is accepted to MLG Workshop at KDD’22

6/2022

Yuying’s first paper in NDS Lab ‘‘Inferring EHR Utilization Workflows through Audit Logs’’ is accepted to AMIA’22!

5/2022

Yu’s first-author paper Fair View Graph Neural Network for Fair Node Representation Learning is accepted to KDD’22!

5/2022

3 papers accepted to KDD’22!

5/2022

Our research was highlighted in VU Provost C. Cybele Raver’s keynote at The Vanderbilt Summit on Modern Conflict!

4/2022

CFP: Our workshop Graph Techniques for Adversarial Activity Analytics (GTA3) is accepted to IEEE BigData’22!

5/2022

Yu awarded Vanderbilt’s C. F. Chen Best Paper Award in Computer Science for his paper Tree Decomposed Graph Neural Network!

4/2022

CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to IEEE ICDM’22!

3/2022

Yi receives the Dean’s Graduate Fellowship Award and will join NDS Lab as a new PhD in Fall 2022!

1/2022

Yuying and Yu receive Student Travel Awards to present at SDM’22!

3/2022

Lance receives Nvidia Academic Hardware Grant for his project on Interpretable 3D Graph Neural Networks for Drug Discovery!

3/2022

Yu accepts his offer to join The Home Depot’s Data Science group as a research intern for Summer’22!

3/2022

Tyler receives Outstanding PC Member Award at WSDM’22! (Credit to NDS subreviewers Yu, Yuying, Lance, Zhaoqing)

3/2022

Yuying is accepted to present her work Bridging the Gap between Fairness and Explainability at SDM’22 Doctoral Forum!

3/2022

Yu is accepted to present his work on Overcoming Data Quality Issues for Graph Neural Networks at SDM’22 Doctoral Forum!

3/2022

Our book chapter Graph Neural Networks: Self-supervised Learning is published in the new edited Springer book Graph Neural Networks: Foundations, Frontiers, and Applications!

2/2022

Our open-source library ChemicalX: A Deep Learning Library for Drug Pair Scoring is released in collaboration with AstraZeneca and Harvard Medical School (and accepted at KDD’22)!

1/2022

Yu is accepted to present his work on Fair Graph Representation Learning with Imbalanced and Biased Data at WSDM’22 Doctoral Consortium!

1/2022

Yu receives NSF Student Travel Award to present at WSDM’22!

1/2022

Yu passes his Preliminary Exam!

2021

12/2021

Lance passes his Qualifying Exam!

12/2021

CFP: Machine Learning on Complex Graphs with Tyler as Topic Editor for Frontiers in Big Data

12/2021

Our preprint Imbalanced Graph Classification via Graph-of-Graph Neural Networks is now online!

11/2021

CFP: Our workshop Machine Learning on Graphs (MLoG) is accepted to ACM WSDM’22!

10/2021

Our preprint Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is now online!

9/2021

Our survey preprint Graph Neural Networks: Self-supervised Learning is now online!

8/2021

Welcome new BS members!
Ao and Emily join NDS Lab

7/2021

Yu’s first paper Tree Decomposed Graph Neural Network in NDS Lab is accepted to ACM CIKM’21!

7/2021

3 papers accepted to ACM CIKM’21!

7/2021

1 paper accepted to ACM Hypertext’21!

7/2021

Kayla receives NISE Fellowship through the Frist Center!

6/2021

Tyler receives Best Reviewer Award at ICWSM’21!

5/2021

Kayla and Yuying receive ICWSM Scholarships to participate in ICWSM’21!

5/2021

1 paper accepted to KDD’21!

4/2021

Zhaoqing receives the Dean’s Graduate Fellowship Award and will join NDS Lab as a new PhD in Spring 2022!

4/2021

Yuying receives the IBM Fellowship Award and will join NDS Lab as a new PhD in Fall 2021!

4/2021

Yu receives a Student Travel Award and Tyler receives Early Career Travel Award to attend SDM’21 supported by NSF!

4/2021

Welcome new BS member!
Sam joins NDS Lab

4/2021

Chet and Ben receive DSI-SRP fellowship for summer 2021!

3/2021

Trevor receives VUSRP fellowship for summer 2021!

3/2021

Yu accepted to present his work at SDM’21 Doctoral Forum!

2/2021

Tyler receives Teaching Innovation Award from the School of Engineering at VU!

2/2021

Welcome new MS member!
Kayla joins NDS Lab

2/2021

Welcome new BS member!
Chet joins NDS Lab

2/2021

Tutorial on GNNs given at AAAI’21!

1/2021

Yu awarded free registration and volunteer position at IJCAI’20!

1/2021

Welcome new PhD member!
Yu join NDS Lab

2020

12/2020

1 paper accepted to AAAI’21!

12/2020

Welcome new BS members!
Ben, Jack, and Trevor join NDS Lab

12/2020

Welcome new MS member!
Cole joins NDS Lab

10/2020

1 paper accepted to WSDM’21!

10/2020

1 paper accepted to ICDE’21!

8/2020

Tyler gave an invited keynote at DLG-KDD’20 / MLG’20!

8/2020

Tutorial on GNNs given at KDD’20!

8/2020

1 paper accepted to IEEE TALE’20!

8/2020

1 paper accepted to ICDM’20!

8/2020

Tyler joins VU and establishes NDS Lab!