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Chao Huang
Chao Huang
Assistant Professor of Computer Science, University of Hong Kong
Verified email at hku.hk - Homepage
Title
Cited by
Cited by
Year
Heterogeneous graph neural network
C Zhang, D Song, C Huang, A Swami, NV Chawla
KDD 2019, 2019
14582019
Knowledge Graph Contrastive Learning for Recommendation
Y Yang, C Huang, L Xia, C Li
SIGIR 2022, 2022
2992022
Hypergraph Contrastive Collaborative Filtering
L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang
SIGIR 2022, 2022
2992022
Few-shot knowledge graph completion
C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla
AAAI 2020, 2020
2232020
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
X Cai, C Huang, L Xia, X Ren
ICLR 2023, 2023
2092023
Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation
L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo
AAAI 2021, 2021
2012021
Traffic flow forecasting with spatial-temporal graph diffusion network
X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng
AAAI 2021, 2021
1892021
Graph meta network for multi-behavior recommendation
L Xia, Y Xu, C Huang, P Dai, L Bo
SIGIR 2021, 2021
1852021
Knowledge-aware coupled graph neural network for social recommendation
C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye
AAAI 2021, 2021
1842021
DeepCrime: Attentive hierarchical recurrent networks for crime prediction
C Huang, J Zhang, Y Zheng, NV Chawla
CIKM 2018, 2018
1752018
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin
WSDM 2022, 2022
1542022
Heterogeneous deep graph infomax
Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang
AAAI Workshop 2020, 2019
1422019
Heterogeneous graph contrastive learning for recommendation
M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo
WSDM 2023, 2023
1272023
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
J Ji, J Wang, C Huang, J Wu, B Xu, Z Wu, J Zhang, Y Zheng
AAAI 2023, 2022
1222022
Neural tensor factorization for temporal interaction learning
X Wu, B Shi, Y Dong, C Huang, NV Chawla
WSDM 2019, 2019
116*2019
Multiplex behavioral relation learning for recommendation via memory augmented transformer network
L Xia*, C Huang*, Y Xu, P Dai, B Zhang, L Bo
SIGIR 2020, 2020
1132020
Mist: A multiview and multimodal spatial-temporal learning framework for citywide abnormal event forecasting
C Huang, C Zhang, J Zhao, X Wu, D Yin, N Chawla
WWW 2019, 2019
1132019
LLMRec: Large Language Models with Graph Augmentation for Recommendation
W Wei, X Ren, J Tang, Q Wang, L Su, S Cheng, J Wang, D Yin, C Huang
WSDM 2024, 2024
1122024
Graphgpt: Graph instruction tuning for large language models
J Tang, Y Yang, W Wei, L Shi, L Su, S Cheng, D Yin, C Huang
SIGIR 2024, 2024
1032024
Graph-enhanced multi-task learning of multi-level transition dynamics for session-based recommendation
C Huang, J Chen, L Xia, Y Xu, P Dai, Y Chen, L Bo, J Zhao, JX Huang
AAAI 2021, 2021
1022021
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