Tyler Derr

2023

• 11/2023: Invited to serve as Associate Editor for Tsinghua Science and Technology

• 11/2023: Our paper ‘‘An In-depth Analysis of the Broken Ties on Twitter’’ is accepted at IEEE BigData2023

• 11/2023: Invited to participate in the Global Academic Reputation Survey by Times Higher Education (THE) contributing to the next World University Rankings

• 11/2023: Invited to serve as Student Travel Chair for KDD2024

• 11/2023: Will give an invited keynote at the Graph Techniques for Adversarial Activity Analytics (GTA3) Workshop at IEEE BigData’23

• 11/2023: Our workshop Machine Learning on Graphs (MLoG) is accepted at WSDM2024 (5th iteration)

• 11/2023: Our paper ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’ is accepted by the New Frontiers in Graph Learning (GLFrontiers) Workshop for oral presentation at NeurIPS

• 11/2023: Gave an invited talk ‘‘Data-Centric AI for Real-World Graph Applications’’ in the ORNL Core Universities AI Workshop at Georgia Tech

• 10/2023: Invited to serve as Publicity Chair for DSAA2024

• 10/2023: NeuroGraph datasets are now available in PyG

• 10/2023: Our paper ‘‘Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation’’ is accepted at IEEE ICMLA2023

• 9/2023: Our paper ‘‘NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics’’ is accepted at NeurIPS2023 Benchmark and Dataset Track

• 9/2023: Preprint ‘‘Graph Unlearning: A Review’’

• 9/2023: Gave an invited talk ‘‘Computational Social Science Topics in the NDS Lab: An Introduction’’ in Vanderbilt's Quantitative Methods Colloquium

• 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: Invited to a small group faculty sloan dinner with VU Chancellor Diermeier in the West End Tower

• 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 and served (multiple times) as an external reviewer for Research Grants Council (RGC) of Hong Kong during 2023.

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