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Jiawei Liu
Jiawei Liu
PhD Student, Beijing University of Posts and Telecommunications
Подтвержден адрес электронной почты в домене bupt.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
C Yang, J Liu, C Shi
Proceedings of the Web Conference 2021, 1227--1237, 2021
1512021
Towards graph foundation models: A survey and beyond
J Liu, C Yang, Z Lu, J Chen, Y Li, M Zhang, T Bai, Y Fang, L Sun, PS Yu, ...
arXiv preprint arXiv:2310.11829, 2023
932023
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
J Liu, C Shi, C Yang, Z Lu, PS Yu
AI Open 3 (2022), 40-57, 2022
532022
Decorrelated Clustering with Data Selection Bias
X Wang, S Fan, K Kuang, C Shi, J Liu, B Wang
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
172020
Learning to distill graph neural networks
C Yang, Y Guo, Y Xu, C Shi, J Liu, C Wang, X Li, N Guo, H Yin
Proceedings of the sixteenth ACM international conference on web search and …, 2023
112023
Endowing pre-trained graph models with provable fairness
Z Zhang, M Zhang, Y Yu, C Yang, J Liu, C Shi
Proceedings of the ACM Web Conference 2024, 1045-1056, 2024
62024
基于异质信息网络的推荐系统研究综述
刘佳玮， 石川， 杨成， 菲利普
信息安全学报 6 (5), 1-16, 2021
52021
Heterogeneous spatio-temporal graph contrastive learning for point-of-interest recommendation
J Liu, H Gao, C Yang, C Shi, T Yang, H Cheng, Q Xie, X Wang, D Wang
Tsinghua Science and Technology 30 (1), 186-197, 2024
42024
Self-supervised spatio-temporal graph learning for point-of-interest recommendation
J Liu, H Gao, C Shi, H Cheng, Q Xie
Applied Sciences 13 (15), 8885, 2023
42023
Graph foundation model
C Shi, J Chen, J Liu, C Yang
Frontiers of Computer Science 18 (6), 186355, 2024
32024
Abnormal event detection via hypergraph contrastive learning
B Yan, C Yang, C Shi, J Liu, X Wang
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
32023
PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network
J Liu, J Zhai, M Zhao, Z Lin, B Yu, C Shi
12024
PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing
F Guo, J Liu, J Zhai, J Jia, K Zhao, C Shi
Proceedings of the Great Lakes Symposium on VLSI 2024, 452-458, 2024
12024
Graph Foundation Models for Recommendation: A Comprehensive Survey
B Wu, Y Wang, Y Zeng, J Liu, J Zhao, C Yang, Y Li, L Xia, D Yin, C Shi
arXiv preprint arXiv:2502.08346, 2025
2025
IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning
F Guo, J Zhai, J Jia, J Liu, K Zhao, B Yu, C Shi
IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), 2025
2025
Graph neural network based time estimator for SAT solver
J Liu, W Xiao, H Cheng, C Shi
International Journal of Machine Learning and Cybernetics, 1-12, 2024
2024
SATGL: An Open-Source Graph Learning Toolkit for Boolean Satisfiability
HT Cheng, J Liu, J Zhai, M Zhao, C Yang, C Shi
2024 2nd International Symposium of Electronics Design Automation (ISEDA …, 2024
2024
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