Tyler Derr

9/2023: Gave an invited talk ‘‘Data Quality-Aware Learning on Graphs’’ in the Computer Science Speaker Series at Brandeis University

9/2023: Invited to serve as Associate Editor for IEEE Transactions on Big Data

8/2023: Prepting ‘‘A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications’’

8/2023: Gave an invited talk ‘‘Enhancing Graph Neural Networks with Data Quality-Aware Learning’’ at the Institute for Artificial Intelligence, Tsinghua University

8/2023: Preprint ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’

8/2023: Invited to serve as Student Travel Award Chair of WSDM2024

8/2023: My PhD student Yuying Zhao's KDD2023 Blog article ’'Progress and Promise for The Shifting Landscape of Gender in STEM’’ is now online

7/2023: Preprint ‘‘Fairness and Diversity in Recommender Systems: A Survey’’

7/2023: Gave an invited talk ‘‘A Survey of Recent Machine Learning Frontiers for Advancing Computer-Aided Drug Discovery’’ at the AI for Drug Discovery Workshop held by Meiler Lab

6/2023: Catherine's paper ‘‘The Friendship Paradox: An Analysis on Signed Social Networks with Positive and Negative Links’’ was accepted to KDD2023 Undergraduate Consortium

6/2023: Our paper Fair Online Dating Recommendations for Sexually Fluid Users via Leveraging Opposite Gender Interaction Ratio is accepted by the MLG Workshop at KDD2023

6/2023: Honored to receive the NSF CAREER Award! News @: Vanderbilt's School of Engineering and Frist Center

6/2023: Will give 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: Preprint ‘‘NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics’’ with code and data publicly availabe here

6/2023: 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: Congratulations to my PhD student Yuying Zhao for being awarded Vanderbilt's C. F. Chen Best Paper Runner-Up Award in Computer Science for her AAAI’23 paper ‘Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations’

4/2023: Congratulations to my PhD student Yu Wang for being awarded Vanderbilt's 2023 Graduate Leadership Anchor Award for Research

4/2023: Our paper ‘‘Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles’’ is accepted in IEEE TKDE

4/2023: Gave an invited talk ‘‘Creating and Leveraging Knowledge Graphs in Real-World Applications’’ in the Knowledge Graph Day at ACM Web Conference

3/2023: Selected for the Visiting Faculty Research Program (VRFP) of The Air Force Research Laboratory's Information Directorate (AFRL/RI) and Information Institute (II) during Summer 2023

3/2023: Our paper ‘‘ADEPT: Autoencoder with Differentially Expressed Genes and Imputation for a Robust Spatial Transcriptomics Clustering’’ is accepted at RECOMB-Seq 2023 and published in iScience

3/2023: My PhD student Yunchao (Lance) Liu's gave an (recorded) invited talk at Molecular Modeling and Drug Discovery (M2D2) organized by Mila and Valance Discovery presenting our work MolKGNN

3/2023: Our workshop Machine Learning on Graphs (MLoG) is accepted at ICDM2023 (4th iteration)

1/2023: Our paper ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’ was accepted at ACM Web Conference

2023: Invited to serve as an external reviewer for Research Grants Council (RGC) of Hong Kong during 2023.

2023: Invited and served (twice) as a grant proposal panelist for NSF during 2023

12/2022: My PhD student Yu Wang was awarded The American Bureau of Shipping (ABS) Scholarship through Vanderbilt University

11/2022: Gave an invited keynote ‘‘Overcoming Data Quality Issues in Graph Learning’’ in the Knowledge Graph Workshop at ICDM2022

11/2022: Our paper ‘‘Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations’’ is accepted at AAAI2023

11/2022: My PhD student Yunchao (Lance) Liu's first paper since joining NDS ‘‘Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery’’ is accepted at AAAI2023

11/2022: Our extended abstract ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’ was accepted at Learning on Graphs (LOG) conference

11/2022: Our extended abstract ‘‘Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling’’ was accepted at Learning on Graphs (LOG) conference

11/2022: Gave an invited talk ‘‘Overcoming Data Quality Issues in Graph Learning’’ in AI Seminar at North Carolina State University

11/2022: Gave an invited talk ‘‘Overcoming Data Qaulity Issues in Graph Learning’’ in the Mathematics and Data Science section of Qilu Youth Forum at Shandong University

10/2022: Our paper ‘‘Degree-related Bias in Link Prediction’’ is accepted at IEEE ICDMW2022

10/2022: Gave an invited talk ‘‘Overcoming Data Quality Issues in Graph Learning’’ in the ORNL Core Universities AI Workshop at Virginia Tech

10/2022: Our workshop Machine Learning on Graphs (MLoG) is accepted at WSDM2023 (3rd iteration)

10/2021: Invited to be a judge for VandyHacks 2022 (VU's premier student hackathon)

9/2022: Our paper ‘‘THINK: Temporal Hypergraph Hyperbolic Network’’ is accepted at IEEE ICDM2022

9/2022: Our paper ‘‘Decision Boundaries of Deep Neural Networks’’ is accepted at IEEE ICMLA2022

8/2022: Our paper ‘‘Enhancing Individual Fairness through Propensity Score Matching’’ is accepted at IEEE DSAA2022

8/2022: Preprint ‘‘Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Relationship Modeling in Drug Discovery’’

8/2022: Invited to serve as Social Media and Publicity Chair of KDD2023

8/2022: Gave an invited talk ‘‘Machine Learning on Graphs’’ in the Computer Science and Mathematics Division at Oak Ridge National Laboratory

8/2022: Our paper ‘‘Imbalanced Graph Classification via Graph-of-Graph Neural Networks’’ is accepted at CIKM2022

7/2022: Preprint ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’

7/2022: Invited to serve as Associate Editor for Elsevier Big Data Research

7/2022: Invited to serve as SPC member for AAAI2023

6/2022: Our paper Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification is accepted by the MLG Workshop at KDD2022

6/2022: Our workshop Privacy Algorithms in Systems is accepted at CIKM2022

6/2022: My PhD student Yuying Zhao's first paper since joining NDS ‘‘Inferring EHR Utilization Workflows through Audit Logs’’ is accepted at AMIA2022

5/2022: My research was highlighted in VU Provost C. Cybele Raver's keynote at The Vanderbilt Summit on Modern Conflict

5/2022: Our paper ‘‘Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage’’ is accepted at KDD2022

5/2022: Our paper ‘‘On Structural Explanation of Bias in Graph Neural Networks’’ is accepted at KDD2022

5/2022: Our paper ‘‘ChemicalX: A Deep Learning Library for Drug Pair Scoring’’ is accepted at KDD2022 and corresponding open-source library is available here

5/2022: Our workshop Graph Techniques for Adversarial Acticity Analytics (GTA3) was accepted at IEEE BigData2022

5/2022: Congratulations to my student Yu Wang for being awarded Vanderbilt's C. F. Chen Best Paper Award in Computer Science for his paper ‘Tree Decomposed Graph Neural Network’

4/2022: Our workshop Machine Learning on Graphs (MLoG) is accepted at ICDM2022 (2nd iteration)

3/2022: Awarded Outstanding PC Member Award at WSDM2022 (with credit going to NDS subreviewers Yu Wang, Yuying Zhao, Yunchao (Lance) Liu, Zhaoqing Li)

3/2022: Congratulations to my student Yunchao (Lance) Liu for being awarded the Nvidia Academic Hardware Grant for his project on ‘‘Interpretable 3D Graph Neural Networks for Drug Discovery’’

2/2022: Preprint ‘‘ChemicalX: A Deep Learning Library for Drug Pair Scoring’’

2/2022: Accepted to attend the ASEE DELTA Junior Faculty Institute

2/2022: Invited to serve as PC member for WebSci2022 and Graph Learning Workshop@WebConf2022

1/2022: Our book chapter ‘‘Graph Neural Networks: Self-supervised Learning’’ is published in the new edited Springer book ‘‘Graph Neural Networks: Foundations, Frontiers, and Applications’’

1/2022: Invited to serve as SPC member for ICWSM2022

2022: Invited and served (twice) as a grant proposal panelist for NSF during 2022

12/2021: Topic Editor of Machine Learning on Complex Graph - Frontiers in Big Data

12/2021: Preprint ‘‘Imbalanced Graph Classification via Graph-of-Graph Neural Networks’’

12/2021: Introduced CS and AI topics to students at Tohoku International School through Skype a Scientist

11/2021: Invited to serve as SPC member for KDD2022

11/2021: Our workshop ‘‘Machine Learning on Graphs (MLoG)’’ is accepted at WSDM2022

10/2021: Preprint ‘‘Distance-wise Prototypical Graph Neural Network for Imbalanced Node Classification’’

9/2021: Preprint of our review on ‘‘Graph Neural Networks: Self-supervised Learning’’

9/2021: Invited to be a judge for VandyHacks 2021 (VU's premier student hackathon)

9/2021: Invited to serve as PC member for The Web Conference 2022

8/2021: Invited to serve as Social Media and Publicity Chair of KDD2022

8/2021: Invited to serve as PC member for GTA3@BigData2021

8/2021: Invited to serve as SPC member for WSDM2022

8/2021: My PhD student Yu Wang's first paper since joining NDS ‘Tree Decomposed Graph Neural Network’ is accepted at CIKM2021

8/2021: Our paper ‘Graph Feature Gating Networks’ is accepted at CIKM2021

8/2021: Our paper ‘Deep Adversarial Network Alignment’ is accepted at CIKM2021

7/2021: Our paper ‘Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries’ is accepted at ACM Hypertext2021

6/2021: Awarded Best Reviewer Award at ICWSM2021

6/2021: Our paper ‘Interpretable Visual Understanding with Cognitive Attention Network’ is accepted at ICANN2021

6/2021: Invited to serve as PC member for ICLR2021

5/2021: Out paper ‘‘Graph Adversarial Attack via Rewiring’’ is accepted at KDD2021

5/2021: Invited to serve as PC member for IEEE BigData2021 and CIKM2021

4/2021: Invited to serve as PC member for EMNLP2021, IRI2021, and NeurIPS2021

4/2021: Awarded SIAM Early Career Travel Award for SDM2021 supported by NSF

4/2021: Our paper ‘‘Self-supervised Learning on Graphs: Deep Insights and New Directions’’ is accepted at SSL@WWW2021

3/2021: Invited to serve as PC member for GNNSys’21 Workshop @ MLSys’21

2/2021: Invited to serve as Doctoral Consortium Chair of WSDM2022

2/2021: I received the Fall 2020 Innovative Teaching Award from the School of Engineering

1/2021: Invited to serve as PC member for WebSci2021

2021: Invited to serve (twice) as a grant proposal panelist for NSF during 2021

12/2020: Invited to serve as PC member for ICML2021

12/2020: Our paper ‘‘Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach’’ is accepted at AAAI2021

12/2020: Invited to serve as PC member for ACL2021

11/2020: Invited to serve as PC member for KDD2021

11/2020: Introduced CS and AI topics to students at Ardsley High School through Skype a Scientist

11/2020: Panelist on the ‘‘Graduate School is not a Job’’ graduate recruitment event

10/2020: Our paper ‘‘Node Similarity Preserving Graph Convolutional Networks’’ is accepted at WSDM2021

10/2020: Our paper ‘‘CopyAttack: Attacking Black-box Recommendations via Copying Cross-domain User Profiles’’ is accepted at ICDE2021

10/2020: Gave an invited talk ‘‘Navigating the Faculty Job Search’’ in Michigan State's College of Engineering Graduate Lunch & Learn seminar

9/2020: Gave an invited talk ‘‘Graph Neural Networks: Social Networks and Beyond’’ in the Biomedical Engineering Department at Vanderbilt Unv.

9/2020: Gave an invited talk at Change++

9/2020: Our tutorial ‘‘Graph Neural Networks: Models and Applications’’ has been accepted by AAAI2021

9/2020: Preprint ‘‘Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries’’

9/2020: Invited to serve as PC member for IJCAI2021

9/2020: Invited to serve as PC member for WWW2021

9/2020: Our paper ‘‘Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest.’’ is accepted at IEEE TALE2020

8/2020: Invited to serve as Proceeding Chair of KDD2021

8/2020: Our paper ‘‘Learning from Incomplete Labeled Data via Adversarial Data Generation’’ is accepted at ICDM2020

8/2020: Invited to serve as PC member for AAAI2021

8/2020: Invited to serve as PC member for GTA3@BigData2020

8/2020: Invited keynote at joint workshops Deep Learning on Graphs: Methods and Applications and Mining and Learning with Graphs at KDD2020

8/2020: Invited to serve as a reviewer for EAAI2021.

8/2020: Awarded KDD2020 Student Registration Award (and partial KDD2021 registation credit) from NSF and SIGKDD

8/2020: I joined Vanderbilt University and established the Network and Data Science (NDS) Lab