Tyler Derr

10/2024: Preprint ‘‘A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions’’

10/2024: Preprint ‘‘Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs’’

10/2024: 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

10/2024: 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

10/2024: We presented our tutorial on Data Quality-Aware Graph Machine Learning at CIKM2024

10/2024: Our paper ‘‘Edge Classification on Graphs: New Directions in Topological Imbalance’’ is accepted at WSDM2025

10/2024: Gave an invited talk ‘‘Demystifying the Node-Level Link Prediction Variability of Graph Neural Networks’’ in the Vanderbilt Graph Theory and Combinatorics Seminar

10/2024: Preprint ‘‘Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective’’

9/2024: Our paper WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking is accepted at NeurIPS2024

9/2024: Our paper FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection is accepted at NeurIPS2024

9/2024: Our paper Robust Graph Neural Networks via Unbiased Aggregation is accepted at NeurIPS2024

9/2024: Our paper ‘‘FairNNV: The Neural Network Verification Tool For Certifying Fairness’’ is accepted at ACM Conference on AI in Finance (ICAIF2024)

8/2024: Our paper ‘‘A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications’’ is accepted at IEEE TKDE

8/2024: Invited to serve as Associate Editor for ACM Transactions on Knowledge Discovery from Data (TKDD)

8/2024: 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

8/2024: Preprint ‘‘A Survey of Mamba’’

8/2024: Invited to serve as Doctoral Forum Co-Chair for SDM2025

8/2024: Gave an invited talk ‘‘Data Quality-Aware Graph Machine Learning’’ in the School of Data Science at The Chinese University of Hong Kong, Shenzhen in their Discover CUHK-Shenzhen-ZJU Elite Students Summer Camp

8/2024: Visited The Hong Kong Polytechnic University (PolyU)

7/2024: Our paper ‘‘Augmenting Textual Generation via Topology Aware Retrieval’’ is accepted at CIKM2024

7/2024: Taught an invited seminar series on Social Network Analysis at Beijing Jiaotong University

7/2024: Our tutorial ‘‘Data-Quality-Aware Graph Machine Learning’’ is accepted at CIKM2024

7/2024: Our paper ‘‘EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks’’ is accepted at ASONAM2024

6/2024: Our dataset and interactive visualization for early freeway traffic anomalous event detection (FT-AED) is now available (link), which is the first large-scale lane-level freeway traffic dataset for anomaly detection

6/2024: Preprint ‘‘FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection’’

6/2024: Preprint ‘‘Edge Classification on Graphs: New Directions in Topological Imbalance’’

6/2024: Awarded NSF grant to support student travel for US-based students to attend KDD2024

6/2024: Our LGGM Text2Graph Generation demo is now live, which is the first large graph generative model that supports generating graphs from textual descriptions

6/2024: Preprint ‘‘Large Graph Generative Models’’

5/2024: Preprint ‘‘Augmenting Textual Generation via Topology Aware Retrieval’’

5/2024: Invited to serve as Student Travel Chair for WSDM2025

4/2024: My PhD student Yunchao (Lance) Liu's team won 1st place in the AI Showcase at VU Data Science Institute presenting the project DiffWater

4/2024: We presented out tutorial on Data Quality-Aware Graph Machine Learning at SDM2024

4/2024: My PhD student Yu Wang received the Best Doctoral Forum Poster Runner-Up award at SDM2024

4/2024: My PhD student Anne Tumlin was awarded the Department of Energy (DOE) Computational Science Graduate Fellowship!

4/2024: Our paper ‘‘Fairness and Diversity in Recommender Systems: A Survey’’ is accepted at ACM TIST

3/2024: My MS student Catherine Yang successfully defended her MS thesis ‘‘An Analysis of Local Neighborhood-based Paradoxes in Signed Social Networks’’ - congratulations!

3/2024: My PhD student Yu Wang was awarded Vanderbilt's Outstanding Doctoral Student Award (one of three for the whole university)

3/2023: Invited to serve as Student Travel Chair for CIKM2024

3/2024: My PhD student Yu Wang will be joining University of Oregon as a Tenure-track Assistant Professor in Computer Science starting in Fall’24 - congratulations, Prof. Wang!

2/2024: Congratulations to Laura Wang who was selected for the Vanderbilt Undergraduate Summer Research Program (VUSRP) for her proposed research in the NDS Lab

2/2024: Our paper ‘‘Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation’’ in collaboration with The Home Depot is accepted at WWW2024

1/2024: Our paper ‘‘Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness’’ in collaboration with Visa Research is accepted at WWW2024

1/2024: Gave an invited talk ‘‘Network Science for Social Good’’ in the Frist Center Salon Series

1/2024: Our paper A Topological Perspective on Demystifying GNN-Based Link Prediction Performance in collaboration with Snap Inc. is accepted at ICLR2024

12/2023: Honored to receive Vanderbilt's Provost Immersion Grant for Faculty

12/2023: Our paper ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’ received the Best Paper Award by the New Frontiers in Graph Learning (GLFrontiers) Workshop at NeurIPS2023

12/2023: Our paper ‘‘Leveraging Opposite Gender Interaction Ratio as a Path Towards Fairness in Online Dating Recommendations Based on User Sexual Orientation’’ is accepted at AAAI2024

12/2023: Our paper ‘‘Knowledge Graph Prompting for Multi-Document Question Answering’’ in collaboration with Adobe Research is accepted at AAAI2024

11/2023: Our tutorial ‘‘Data-Quality-Aware Graph Machine Learning’’ is accepted at SDM2024

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

11/2023: Our paper ‘‘An Analysis of the Dynamics of 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: Preprint ‘‘Robust Graph Neural Networks via Unbiased Aggregation’’

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 NeurIPS2023

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: Preprint ‘‘A Topological Perspective on Demystifying GNN-Based Link Prediction Performance’’

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 Datasets and Benchmark 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 salon dinner with VU Chancellor Diermeier in the West End Tower

8/2023: Preprint ‘‘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’’ is 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’’ is accepted at ACM Web Conference (WWW2023)

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