| Hierarchical multi-modal contextual attention network for fake news detection S Qian, J Wang, J Hu, Q Fang, C Xu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 202 | 2021 |
| Fake news detection via knowledge-driven multimodal graph convolutional networks Y Wang, S Qian, J Hu, Q Fang, C Xu Proceedings of the 2020 international conference on multimedia retrieval …, 2020 | 179 | 2020 |
| User cold-start recommendation via inductive heterogeneous graph neural network D Cai, S Qian, Q Fang, J Hu, C Xu ACM Transactions on Information Systems 41 (3), 1-27, 2023 | 82 | 2023 |
| Knowledge-aware multi-modal adaptive graph convolutional networks for fake news detection S Qian, J Hu, Q Fang, C Xu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 72 | 2021 |
| Efficient graph deep learning in tensorflow with tf_geometric J Hu, S Qian, Q Fang, Y Wang, Q Zhao, H Zhang, C Xu Proceedings of the 29th ACM International Conference on Multimedia, 3775-3778, 2021 | 60 | 2021 |
| Heterogeneous graph contrastive learning network for personalized micro-video recommendation D Cai, S Qian, Q Fang, J Hu, W Ding, C Xu IEEE Transactions on Multimedia 25, 2761-2773, 2022 | 54 | 2022 |
| MGDCF: Distance learning via Markov graph diffusion for neural collaborative filtering J Hu, B Hooi, S Qian, Q Fang, C Xu IEEE Transactions on Knowledge and Data Engineering, 2024 | 33 | 2024 |
| Hierarchical graph semantic pooling network for multi-modal community question answer matching J Hu, S Qian, Q Fang, C Xu Proceedings of the 27th ACM International Conference on Multimedia, 1157-1165, 2019 | 28 | 2019 |
| Contrastive multi-modal knowledge graph representation learning Q Fang, X Zhang, J Hu, X Wu, C Xu IEEE Transactions on Knowledge and Data Engineering 35 (9), 8983-8996, 2022 | 26 | 2022 |
| Attentive interactive convolutional matching for community question answering in social multimedia J Hu, S Qian, Q Fang, C Xu Proceedings of the 26th ACM international conference on Multimedia, 456-464, 2018 | 25 | 2018 |
| Positive unlabeled fake news detection via multi-modal masked transformer network J Wang, S Qian, J Hu, R Hong IEEE Transactions on Multimedia 26, 234-244, 2023 | 20 | 2023 |
| Multimodal graph convolutional networks for high quality content recognition J Wang, J Hu, S Qian, Q Fang, C Xu Neurocomputing 412, 42-51, 2020 | 15 | 2020 |
| Adaptive anti-bottleneck multi-modal graph learning network for personalized micro-video recommendation D Cai, S Qian, Q Fang, J Hu, C Xu Proceedings of the 30th ACM International Conference on Multimedia, 581-590, 2022 | 12 | 2022 |
| Heterogeneous community question answering via social-aware multi-modal co-attention convolutional matching J Hu, S Qian, Q Fang, C Xu IEEE Transactions on Multimedia 23, 2321-2334, 2020 | 12 | 2020 |
| Multi-modal attentive graph pooling model for community question answer matching J Hu, Q Fang, S Qian, C Xu Proceedings of the 28th ACM International Conference on Multimedia, 3505-3513, 2020 | 11 | 2020 |
| Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision N Chen, Z Liu, B Hooi, B He, R Fathony, J Hu, J Chen The Twelfth International Conference on Learning Representations, 2024 | 10 | 2024 |
| Efficient heterogeneous graph learning via random projection J Hu, B Hooi, B He IEEE Transactions on Knowledge and Data Engineering, 2024 | 9 | 2024 |
| Grecx: An efficient and unified benchmark for GNN-based recommendation D Cai, J Hu, Q Zhao, S Qian, Q Fang, C Xu arXiv preprint arXiv:2111.10342, 2021 | 8 | 2021 |
| Gaeat: Graph auto-encoder attention networks for knowledge graph completion Y Han, Q Fang, J Hu, S Qian, C Xu Proceedings of the 29th ACM International Conference on Information …, 2020 | 7 | 2020 |
| A2CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding J Hu, S Qian, Q Fang, X Liu, C Xu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 6 | 2019 |
