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Chuan Shi
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Heterogeneous graph attention network
X Wang, H Ji, C Shi, B Wang, Y Ye, P Cui, PS Yu
The world wide web conference, 2022-2032, 2019
20702019
A survey of heterogeneous information network analysis
C Shi, Y Li, J Zhang, Y Sun, SY Philip
IEEE Transactions on Knowledge and Data Engineering 29 (1), 17-37, 2016
11052016
Heterogeneous information network embedding for recommendation
C Shi, B Hu, WX Zhao, SY Philip
IEEE transactions on knowledge and data engineering 31 (2), 357-370, 2018
10252018
Leveraging meta-path based context for top-n recommendation with a neural co-attention model
B Hu, C Shi, WX Zhao, PS Yu
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
6402018
Beyond low-frequency information in graph convolutional networks
D Bo, X Wang, C Shi, H Shen
Proceedings of the AAAI conference on artificial intelligence 35 (5), 3950-3957, 2021
4092021
Am-gcn: Adaptive multi-channel graph convolutional networks
X Wang, M Zhu, D Bo, P Cui, C Shi, J Pei
Proceedings of the 26th ACM SIGKDD International conference on knowledge …, 2020
3952020
Structural deep clustering network
D Bo, X Wang, C Shi, M Zhu, E Lu, P Cui
Proceedings of the web conference 2020, 1400-1410, 2020
3912020
Heterogeneous graph attention networks for semi-supervised short text classification
H Linmei, T Yang, C Shi, H Ji, X Li
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
3432019
Metapath-guided heterogeneous graph neural network for intent recommendation
S Fan, J Zhu, X Han, C Shi, L Hu, B Ma, Y Li
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
3262019
Semantic path based personalized recommendation on weighted heterogeneous information networks
C Shi, Z Zhang, P Luo, PS Yu, Y Yue, B Wu
Proceedings of the 24th ACM international on conference on information and …, 2015
3182015
Hetesim: A general framework for relevance measure in heterogeneous networks
C Shi, X Kong, Y Huang, SY Philip, B Wu
IEEE Transactions on Knowledge and Data Engineering 26 (10), 2479-2492, 2014
3072014
Self-supervised heterogeneous graph neural network with co-contrastive learning
X Wang, N Liu, H Han, C Shi
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
2512021
A survey on heterogeneous graph embedding: methods, techniques, applications and sources
X Wang, D Bo, C Shi, S Fan, Y Ye, SY Philip
IEEE Transactions on Big Data 9 (2), 415-436, 2022
2402022
Meta-learning on heterogeneous information networks for cold-start recommendation
Y Lu, Y Fang, C Shi
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2222020
Multi-objective community detection in complex networks
C Shi, Z Yan, Y Cai, B Wu
Applied Soft Computing 12 (2), 850-859, 2012
2082012
Adversarial learning on heterogeneous information networks
B Hu, Y Fang, C Shi
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
2002019
Heterogeneous graph structure learning for graph neural networks
J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4697-4705, 2021
1902021
Graph neural news recommendation with long-term and short-term interest modeling
L Hu, C Li, C Shi, C Yang, C Shao
Information Processing & Management 57 (2), 102142, 2020
1792020
One2multi graph autoencoder for multi-view graph clustering
S Fan, X Wang, C Shi, E Lu, K Lin, B Wang
proceedings of the web conference 2020, 3070-3076, 2020
1642020
A link clustering based overlapping community detection algorithm
C Shi, Y Cai, D Fu, Y Dong, B Wu
Data & Knowledge Engineering 87, 394-404, 2013
1562013
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