Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla KDD 2019, 2019 | 1304 | 2019 |
Hypergraph Contrastive Collaborative Filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang SIGIR 2022, 2022 | 230 | 2022 |
Knowledge Graph Contrastive Learning for Recommendation Y Yang, C Huang, L Xia, C Li SIGIR 2022, 2022 | 214 | 2022 |
Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI 2020, 2020 | 197 | 2020 |
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 | 170 | 2021 |
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 | 168 | 2021 |
DeepCrime: Attentive hierarchical recurrent networks for crime prediction C Huang, J Zhang, Y Zheng, NV Chawla CIKM 2018, 2018 | 163 | 2018 |
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 | 159 | 2021 |
Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo SIGIR 2021, 2021 | 145 | 2021 |
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023 | 138 | 2023 |
Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang AAAI Workshop 2020, 2019 | 126 | 2019 |
Contrastive Meta Learning with Behavior Multiplicity for Recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin WSDM 2022, 2022 | 122 | 2022 |
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 | 108 | 2019 |
Neural tensor factorization for temporal interaction learning X Wu, B Shi, Y Dong, C Huang, NV Chawla WSDM 2019, 2019 | 106* | 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 | 94 | 2020 |
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 | 92 | 2021 |
Online purchase prediction via multi-scale modeling of behavior dynamics C Huang, X Wu, X Zhang, C Zhang, J Zhao, D Yin, NV Chawla KDD 2019, 2019 | 90 | 2019 |
On robust truth discovery in sparse social media sensing DY Zhang, R Han, D Wang, C Huang BigData 2016, 2016 | 81 | 2016 |
Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo WSDM 2023, 2023 | 74 | 2023 |
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation Y Yang, C Huang, L Xia, Y Liang, Y Yu, C Li KDD 2022, 2022 | 69 | 2022 |