Yiqi Wang
Yiqi Wang
Verifisert e-postadresse på msu.edu - Startside
Sitert av
Sitert av
Traffic flow prediction via spatial temporal graph neural network
X Wang, Y Ma, Y Wang, W Jin, X Wang, J Tang, C Jia, J Yu
Proceedings of the web conference 2020, 1082-1092, 2020
Node similarity preserving graph convolutional networks
W Jin, T Derr, Y Wang, Y Ma, Z Liu, J Tang
Proceedings of the 14th ACM international conference on web search and data …, 2021
Self-supervised learning on graphs: Deep insights and new direction
W Jin, T Derr, H Liu, Y Wang, S Wang, Z Liu, J Tang
The Web Conference (WWW 2021) Workshop: Self-Supervised Learning for the Web, 2021
Trustworthy ai: A computational perspective
H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu, A Jain, J Tang
ACM Transactions on Intelligent Systems and Technology 14 (1), 1-59, 2022
Adversarial attacks and defenses on graphs
W Jin, Y Li, H Xu, Y Wang, S Ji, C Aggarwal, J Tang
ACM SIGKDD Explorations Newsletter 22 (2), 19-34, 2021
Investigating and mitigating degree-related biases in graph convoltuional networks
X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
Recommender systems in the era of large language models (llms)
W Fan, Z Zhao, J Li, Y Liu, X Mei, Y Wang, J Tang, Q Li
arXiv preprint arXiv:2307.02046, 2023
Adversarial attacks and defenses on graphs: A review and empirical study
W Jin, Y Li, H Xu, Y Wang, J Tang
arXiv preprint arXiv:2003.00653 10 (3447556.3447566), 2020
Elastic graph neural networks
X Liu, W Jin, Y Ma, Y Li, H Liu, Y Wang, M Yan, J Tang
International Conference on Machine Learning, 6837-6849, 2021
Mitigating gender bias for neural dialogue generation with adversarial learning
H Liu, W Wang, Y Wang, H Liu, Z Liu, J Tang
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Gophormer: Ego-graph transformer for node classification
J Zhao, C Li, Q Wen, Y Wang, Y Liu, H Sun, X Xie, Y Ye
arXiv preprint arXiv:2110.13094, 2021
Graph neural networks for multimodal single-cell data integration
H Wen, J Ding, W Jin, Y Wang, Y Xie, J Tang
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
House: Knowledge graph embedding with householder parameterization
R Li, J Zhao, C Li, D He, Y Wang, Y Liu, H Sun, S Wang, W Deng, Y Shen, ...
International conference on machine learning, 13209-13224, 2022
Deep graph learning: Foundations, advances and applications
Y Rong, T Xu, J Huang, W Huang, H Cheng, Y Ma, Y Wang, T Derr, L Wu, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
A comprehensive survey on trustworthy recommender systems
W Fan, X Zhao, X Chen, J Su, J Gao, L Wang, Q Liu, Y Wang, H Xu, ...
arXiv preprint arXiv:2209.10117, 2022
Deep embedding for determining the number of clusters
Y Wang, Z Shi, X Guo, X Liu, E Zhu, J Yin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Y Wang, C Li, Z Liu, M Li, J Tang, X Xie, L Chen, PS Yu
ACM Transactions on Information Systems, 2021
Graph pooling with representativeness
J Li, Y Ma, Y Wang, C Aggarwal, CD Wang, J Tang
2020 IEEE International Conference on Data Mining (ICDM), 302-311, 2020
Linrec: Linear attention mechanism for long-term sequential recommender systems
L Liu, L Cai, C Zhang, X Zhao, J Gao, W Wang, Y Lv, W Fan, Y Wang, ...
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service
Y Wang, G Li, M Ma, F He, Z Song, W Zhang, C Wu
BMC genomics 19, 89-98, 2018
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Artikler 1–20