News

Our paper Large Graph Generative Models is accepted at ICLR2025!

Our paper ``Demystifying the Power of Large Language Models in Graph Generations’’ is accepted at NAACL2025 Findings!

Honored to receive the NVIDIA Academic Grant Program Award for our project on Cyclic Peptide Design with NVIDIA’s BioNeMo Platform!

Bo is selected as AAAI2025 Student Scholar!

Leyao received an Honorable Mention for the 2024-25 CRA Oustanding Undergraduate Researcher Award!

Bo’s first paper in NDS lab Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective is accepted at AAAI2025!

Lance successfully defended his PhD dissertation ‘‘Geometric Deep Learning in Drug Discovery - congratulations, Dr. Liu!

Our preprint Personalization of Large Language Models: A Survey is now online!

Our preprint SuperWater: Predicting Water Molecule Positions on Protein Structures by Generative AI is now online!

Xueqi’s first paper in NDS lab Edge Classification on Graphs: New Directions in Topological Imbalance is accepted at WSDM2025!

Allen is awarded the Graduate School Travel Grant to present WelQrate at NeurIPS2024!

Our preprint A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions is now online!

Our preprint Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs is now online!

Tyler gave an invited keynote Demystifying the Node-Level Link Prediction Variability of Graph Neural Networks at the Online and Adaptive Recommender Systems (OARS) Workshop at CIKM2024!

Tyler gave an invited talk Ethical AI in Recommender Systems: Fairness, Diversity, and Explainability at the Knowledge Graphs for Responsible AI (KG-STAR) Workshop at CIKM2024!

Tyler gave an invited talk Demystifying the Node-Level Link Prediction Variability of Graph Neural Networks in the Vanderbilt Graph Theory and Combinatorics Seminar!

Our paper WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking is accepted at NeurIPS2024!

Our paper Robust Graph Neural Networks via Unbiased Aggregation is accepted at NeurIPS2024!

Our paper FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection is accepted at NeurIPS2024!

Anne’s first paper in NDS lab FairNNV: The Neural Network Verification Tool For Certifying Fairness is accepted at ACM Conference on AI in Finance (ICAIF2024)!

Our paper A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications is accepted at IEEE TKDE!

Tyler was invited to serve as Associate Editor for ACM Transactions on Knowledge Discovery from Data (TKDD)!

Tyler gave an invited keynote ‘’Ethical AI in Recommender Systems: Fairness, Diversity, and Explainability’’ at the Ethical Artificial Intelligence Methods and Applications (EAI-KDD) Workshop at KDD2024!

Our paper Augmenting Textual Generation via Topology Aware Retrieval is accepted at CIKM2024!

Bo was accepted into the CIKM 2024 PhD Symposium for his work “Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective”!

Our tutorial Data-Quality-Aware Graph Machine Learning is accepted at CIKM2024!

Yu successfully defended his PhD dissertation ‘‘Data-quality-aware Graph Machine Learning - congratulations, Dr. Wang!’’

Our preprint Edge Classification on Graphs: New Directions in Topological Imbalance is now online!

Tyler awarded NSF grant to support student travel for US-based students to attend KDD2024!

Our LGGM Text2Graph Generation demo is now live, which is the first large graph generative model that supports generating graphs from textual descriptions!

Our preprint Large Graph Generative Models is now online!

Our preprint Augmenting Textual Generation via Topology Aware Retrieval is now online!

Yuying starts her Summer’24 research internship at Visa Research!

Lance’s team won 1st Place in VU’s AI Showcase by the Data Science Institute!

Our tutorial on ‘‘Data Quality-Aware Graph Machine Learning’’ is now online and was presented at SDM’24!

Yu receives the Best Doctoral Forum Poster Runner-Up Award at SDM’24!

Anne is awarded the Department of Energy (DOE) Computational Science Graduate Fellowship!

Yuying’s paper '’Fairness and Diversity in Recommender Systems: A Survey’’ is accepted at ACM TIST!

Catherine successfully defended her MS thesis ‘‘An Analysis of Local Neighborhood-based Paradoxes in Signed Social Networks!’’

Tyler and Yu are invited to serve as Student Travel Award Chair at CIKM’24!

Yu is awarded Vanderbilt’s Outstanding Doctoral Student Award! (one of three for the whole university)

Yu will join University of Oregon as a Tenure-track Assistant Professor in Computer Science starting Fall’24!

Laura is selected for the 2024 Vanderbilt Undergraduate Summer Research Program (VUSRP)!

Yu’s paper ‘‘Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation’’ is accepted at WWW’24!

Yuying’s paper ‘‘Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness’’ is accepted at WWW’24!

Tyler is invited to give a talk ‘‘Network Science for Social Good’’ in the Frist Center Salon Series!

Yu’s paper '’A Topological Perspective on Demystifying GNN-Based Link Prediction Performance’’ is accepted at ICLR’24!

Tyler receives Vanderbilt’s Provost Immersion Grant for Faculty!

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!

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!

Yu’s paper '’Knowledge Graph Prompting for Multi-Document Question Answering’’ is accepted at AAAI’24!

Our tutorial ‘‘Data Quality-Aware Graph Machine Learning’’ led by Yu, is accepted at SDM’24!

Tyler invited to serve as an Associate Editor of Tsinghua Science and Technology!

Lance is selected as a Finalist in Vanderbilt’s 3MT Competition!

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

Our Machine Learning on Graphs (MLoG) Workshop was accepted at WSDM’24 (currently on its 5th iteration)!

Our paper ‘‘An In-depth Analysis of the Broken Ties on Twitter’’ is accepted at IEEE BigData’23!

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

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

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

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

Our preprint A Survey of Graph Unlearning is now online!

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

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

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!

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

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

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

Welcome new BS members!
Leyao join NDS Lab

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

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

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

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

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

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

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

Tyler is awarded the NSF CAREER Award!

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)!

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

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

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!

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!

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!

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!

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

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

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)!

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!

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

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

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!

Welcome new BS members!
Macharia join NDS Lab

Yu’s paper Collaboration-Aware Graph Convolutional Network for Recommender Systems is accepted at TheWebConf’23!

Yuying passes her Preliminary Exam!

Yu is awarded The American Bureau of Shipping Scholarship!

Yuying accepts her offer to join Visa Research as a PhD research intern for Summer’23!

Yu accepts his offer to join Adobe as a PhD research intern for Summer’23!

Yuying and Lance are awarded AAAI-23 Student Scholarships and selected as volunteers!

Tyler gave a keynote at the ICDM’22 International Workshop on Knowledge Graphs on ‘‘Overcoming Data Quality Issues in Graph Learning’’!

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!

Yuying’s paper Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations is accepted at AAAI’23!

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!

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!”

Shivam’s paper THINK: Temporal Hypergraph Hyperbolic Network is accepted at IEEE ICDM’22!

Tyler invited to serve as Publicity Chair at KDD’23!

Lance’s preprint Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery is now online!

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

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

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

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

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

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

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

3 papers accepted to KDD’22!

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

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

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

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

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

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

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

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

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

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

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

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

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)!

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

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

Yu passes his Preliminary Exam!

Lance passes his Qualifying Exam!

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

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

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

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

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

Welcome new BS members!
Ao and Emily join NDS Lab

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

3 papers accepted to ACM CIKM’21!

1 paper accepted to ACM Hypertext’21!

Kayla receives NISE Fellowship through the Frist Center!

Tyler receives Best Reviewer Award at ICWSM’21!

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

1 paper accepted to KDD’21!

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

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

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

Welcome new BS member!
Sam joins NDS Lab

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

Trevor receives VUSRP fellowship for summer 2021!

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

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

Welcome new MS member!
Kayla joins NDS Lab

Welcome new BS member!
Chet joins NDS Lab

Tutorial on GNNs given at AAAI’21!

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

Welcome new PhD member!
Yu join NDS Lab

1 paper accepted to AAAI’21!

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

Welcome new MS member!
Cole joins NDS Lab

1 paper accepted to WSDM’21!

1 paper accepted to ICDE’21!

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

Tutorial on GNNs given at KDD’20!

1 paper accepted to IEEE TALE’20!

1 paper accepted to ICDM’20!

Tyler joins VU and establishes NDS Lab!