11/2023
Out 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 Techonology!
11/2023
Yunchao (Lance) Liu selected as a finalist in Vanderbilt’s 3MT Competition!
11/2023
Tyler 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
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
Yu’s intern paper Knowledge Graph Prompting for Multi-Document Question Answering was accepted to NeurIPS 2023 GLFrontiers Workshop!
9/2023
Yuying accepts her return offer to join Visa as a PhD research intern for Summer’24 in Foster City!
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 invited to serve as an Associate Editor of IEEE Transactions on Big Data!
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!</b>
Catherine and 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!
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!
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!
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
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!