Theo dõi
Yu Wang
Yu Wang
Department of Computer Science, University of Oregon
Email được xác minh tại uoregon.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Knowledge graph prompting for multi-document question answering
Y Wang, N Lipka, RA Rossi, A Siu, R Zhang, T Derr
AAAI 2024, 2024
1132024
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Y Wang, Y Zhao, Y Dong, H Chen, J Li, T Derr
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
972022
Tree Decomposed Graph Neural Network
Y Wang, T Derr
ACM International Conference on Information and Knowledge Management (CIKM), 2021
862021
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Y Wang, Y Zhao, Y Zhang, T Derr
Proceedings of the ACM Web Conference 2023, 91-101, 2023
68*2023
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Y Wang, Y Zhao, N Shah, T Derr
31st ACM International Conference on Information and Knowledge Management, 2021
642021
On structural explanation of bias in graph neural networks
Y Dong, S Wang, Y Wang, T Derr, J Li
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
352022
Graph neural networks: Self-supervised learning
Y Wang, W Jin, T Derr
Graph Neural Networks: Foundations, Frontiers, and Applications, 391-420, 2022
312022
Fairness and diversity in recommender systems: a survey
Y Zhao, Y Wang, Y Liu, X Cheng, CC Aggarwal, T Derr
ACM Transactions on Intelligent Systems and Technology 16 (1), 1-28, 2025
292025
ChemicalX: A Deep Learning Library for Drug Pair Scoring
B Rozemberczki, CT Hoyt, A Gogleva, P Grabowski, K Karis, A Lamov, ...
Proceedings of 28th ACM SIGKDD International Conference on Knowledge …, 2022
282022
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery
Y Liu, Y Wang, OT Vu, R Moretti, B Bodenheimer, J Meiler, T Derr
AAAI 2023, 2022
262022
Distance-wise prototypical graph neural network in node imbalance classification
Y Wang, C Aggarwal, T Derr
arXiv preprint arXiv:2110.12035, 2021
222021
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
Y Zhao, Y Wang, T Derr
AAAI 2023, 2022
202022
Fairness-aware graph neural networks: A survey
A Chen, RA Rossi, N Park, P Trivedi, Y Wang, T Yu, S Kim, F Dernoncourt, ...
ACM Transactions on Knowledge Discovery from Data 18 (6), 1-23, 2024
172024
Fair graph representation learning with imbalanced and biased data
Y Wang
Proceedings of the fifteenth ACM international conference on web search and …, 2022
142022
Generating synthetic systems of interdependent critical infrastructure networks
Y Wang, JZ Yu, H Baroud
IEEE Systems Journal 16 (2), 3191-3202, 2021
122021
A survey on privacy in graph neural networks: Attacks, preservation, and applications
Y Zhang, Y Zhao, Z Li, X Cheng, Y Wang, O Kotevska, SY Philip, T Derr
IEEE Transactions on Knowledge and Data Engineering, 2024
112024
Degree-related bias in link prediction
Y Wang, T Derr
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 757-758, 2022
92022
Personalization of large language models: A survey
Z Zhang, RA Rossi, B Kveton, Y Shao, D Yang, H Zamani, F Dernoncourt, ...
arXiv preprint arXiv:2411.00027, 2024
82024
Knowledge graph-based session recommendation with session-adaptive propagation
Y Wang, A Javari, J Balaji, W Shalaby, T Derr, X Cui
Companion Proceedings of the ACM Web Conference 2024, 264-273, 2024
8*2024
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
Y Zhao, M Xu, H Chen, Y Chen, Y Cai, R Islam, Y Wang, T Derr
The Web Conference 24 Research Track, 2024
82024
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