Publication

Most up-to-date publications are here

Tutorials

• Yu Wang, Yijun Tian, Tong Zhao, Xiaorui Liu, Jian Kang, Tyler Derr
  Data Quality-aware Graph Machine Learning
  SIAM International Conference Data Mining (SDM), 2024

Book Chapter

• Yu Wang, Wei Jin, Tyler Derr
  Graph Neural Networks: Self-supervised Learning
  In Graph Neural Networks: Foundations, Frontiers, and Applications, Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao. Springer. [Chapter][Book]

Preprints

• Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
  A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
  Arxiv 2023 [Paper] [Code]

• Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu Aggarwal, Tyler Derr
  Fairness and Diversity in Recommender Systems: A Survey
  Arxiv 2023 [Paper] [Code]

• Yunchao Liu, Rocco Moretti, Yu Wang, Bobby Bodenheimer, Tyler Derr, Jens Meiler
  Integrating Expert Knowledge with Deep Learning Improves QSAR Models for CADD Modeling
  bioRxiv 2023 [Paper] [Code]

• Yu Wang, Charu Aggarwal, Tyler Derr
  Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
  Arxiv 2022 [Paper] [Code]

• Yu Wang, Jin-Zhu Yu, Hiba Baroud
  A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures
  Arxiv 2022 [Paper] [Code]

Conference/Journal Papers

• April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
  Fairness-Aware Graph Neural Networks: A Survey
  ACM Transactions on Knowledge Discovery from Data [Paper]

• Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
  Knowledge Graph-Based Sequential Recommendation with Session-Adaptive Propagation
  In Proceedings of the ACM Web Conference (WWW) 2024 [Paper][Code]

• Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr.
  Can One Embedding Fit All? A Multi-interest Learning Paradigm for Improving User Interest Diversity Fairness
  In Proceedings of the ACM Web Conference (WWW) 2024 [Paper][Code]

• Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
  A Topological Perspective on Demystifying GNN-based Link Prediction Performance
  International Conference on Learning Representation (ICLR) 2024 [Paper][Code]

• Yu Wang, Nedim Lipka, Ryan Rossi, Alexa Siu, Ruiyi Zhang, Tyler Derr
  Knowledge Graph Prompting for Multi-Document Question Answering
  The 38th AAAI Conference on Artificial Intelligence (AAAI) 2024 [Paper][Code]
  Best Paper Award at GLFrontiers Workshop in Neurips’23

• Yuying Zhao, Yu Wang, Yi Zhang, Pamela Wisniswski, Charu Aggarwal, and Tyler Derr
  Fair online dating recommendations for sexually fluid users via leveraging opposite gender interaction ratio
  The 38th AAAI Conference on Artificial Intelligence (AAAI) 2024 [Paper][Code]

• Yu Wang, Yuying Zhao, Yi Zhang, and Tyler Derr
  Collaboration-aware Graph Convolutional Networks for Recommender Systems
  In Proceedings of the ACM Web Conference (WWW) 2023 [Paper][Code]
  Top-10 Most Influential Paper in WWW’23

• Yu Wang, Yuying Zhao, Tyler Derr
  Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
  The 37th AAAI Conference on Artificial Intelligence (AAAI) 2023 [Paper][Code][Slides][Poster]

• Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr
  Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure-Activity Relationship Modeling in Drug Discovery
  The 37th AAAI Conference on Artificial Intelligence (AAAI) 2023 [Paper][Code][Slides][Poster]

• Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
  Imbalanced Graph Classification via GNNs on Graph of Graphs
  In Proceedings of the 31th ACM International Conference on Information and Knowledge Management (CIKM) 2022 [Paper][Code][Slides][Poster]
  Top-10 Most Influential Paper in CIKM’22

• Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
  Improving Fairness in GNNs via Mitigating Sensitive Attribute Leakage
  Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2022 [Paper][Code][Slides][Poster]

• Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
  On Structural Explanation of Bias in Graph Neural Networks**
  Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2022 [Paper][Code]

• Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michael Ughetto, Yu Wang, Tyler Derr, Benjamin M Gyori
  ChemicalX: A Deep Learning Library for Drug Pair Scoring
  Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2022 [Paper][Code][Slides]

• Yu Wang
  Fair Graph Learning with Imbalanced and Biased Data
  Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM) 2022 [Paper][Slides]

• Yu Wang, Tyler Derr
  Tree Decomposed Graph Neural Network
  In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM) 2022 [Paper][Code][Slides][Poster]

• Ao Qu, Yu Wang, Yue Hu, Yanbing Wang, Hiba Baroud
  A Data-Integration Analysis on Road Emissions and Traffic Patterns
  Smoky Mountains Computational Sciences and Engineering Conference Springer 2020 [Paper]
  Top finish and Best Paper Award in 2020 Smokey Mountain Data Challenge Competition by ORNL