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Jiawei Liu
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Year
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
1222021
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
422023
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
362022
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
162020
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
52023
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, 2024
12024
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
12023
Graph foundation model
C Shi, J Chen, J Liu, C Yang
Frontiers of Computer Science 18 (6), 186355, 2024
2024
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
2024
Endowing Pre-trained Graph Models with Provable Fairness
Z Zhang, M Zhang, Y Yu, C Yang, J Liu, C Shi
Proceedings of the ACM on Web Conference 2024, 1045-1056, 2024
2024
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
2023
SATGL: an Open-source Graph Learning Toolkit for Boolean Satisfiability
HT Cheng, J Liu, J Zhai, M Zhao, C Yang, C Shi
International Symposium of EDA (ISEDA) 2024, 0
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Articles 1–13