News

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, and North Carolina State University!

10/2022

Yu’s paper ‘‘Demystify Degree-related Bias in Link Prediction’’ is accepted to ICDM’22 Doctoral Forum and received their 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!

8/2021

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!

8/2021

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

7/2021

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!

4/2021

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!

4/2021

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

3/2021

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)

3/2021

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

3/2021

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!</b>
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!