| Meta-gnn: On few-shot node classification in graph meta-learning F Zhou, C Cao, K Zhang, G Trajcevski, T Zhong, J Geng Proceedings of the 28th ACM International Conference on Information and …, 2019 | 186 | 2019 |
| Deeplink: A deep learning approach for user identity linkage F Zhou, L Liu, K Zhang, G Trajcevski, J Wu, T Zhong IEEE INFOCOM 2018-IEEE Conference on computer communications, 1313-1321, 2018 | 184 | 2018 |
| Information diffusion prediction via recurrent cascades convolution X Chen, F Zhou, K Zhang, G Trajcevski, T Zhong, F Zhang 2019 IEEE 35th international conference on data engineering (ICDE), 770-781, 2019 | 147 | 2019 |
| Adversarial point-of-interest recommendation F Zhou, R Yin, K Zhang, G Trajcevski, T Zhong, J Wu The world wide web conference, 3462-34618, 2019 | 117 | 2019 |
| Predicting human mobility via variational attention Q Gao, F Zhou, G Trajcevski, K Zhang, T Zhong, F Zhang The world wide web conference, 2750-2756, 2019 | 114 | 2019 |
| Variational graph neural networks for road traffic prediction in intelligent transportation systems F Zhou, Q Yang, T Zhong, D Chen, N Zhang IEEE Transactions on Industrial Informatics 17 (4), 2802-2812, 2020 | 112 | 2020 |
| Trajectory-User Linking via Variational AutoEncoder. F Zhou, Q Gao, G Trajcevski, K Zhang, T Zhong, F Zhang IJCAI, 3212-3218, 2018 | 106 | 2018 |
| Reinforced spatiotemporal attentive graph neural networks for traffic forecasting F Zhou, Q Yang, K Zhang, G Trajcevski, T Zhong, A Khokhar IEEE Internet of Things Journal 7 (7), 6414-6428, 2020 | 65 | 2020 |
| Hybrid graph convolutional networks with multi-head attention for location recommendation T Zhong, S Zhang, F Zhou, K Zhang, G Trajcevski, J Wu World Wide Web 23, 3125-3151, 2020 | 57 | 2020 |
| Information cascades modeling via deep multi-task learning X Chen, K Zhang, F Zhou, G Trajcevski, T Zhong, F Zhang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 44 | 2019 |
| Variational information diffusion for probabilistic cascades prediction F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong IEEE INFOCOM 2020-IEEE conference on computer communications, 1618-1627, 2020 | 41 | 2020 |
| Learning latent seasonal-trend representations for time series forecasting Z Wang, X Xu, W Zhang, G Trajcevski, T Zhong, F Zhou Advances in Neural Information Processing Systems 35, 38775-38787, 2022 | 39 | 2022 |
| Context-aware variational trajectory encoding and human mobility inference F Zhou, X Yue, G Trajcevski, T Zhong, K Zhang The world wide web conference, 3469-3475, 2019 | 38 | 2019 |
| Trajectory-based social circle inference Q Gao, G Trajcevski, F Zhou, K Zhang, T Zhong, F Zhang Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 33 | 2018 |
| Self-supervised human mobility learning for next location prediction and trajectory classification F Zhou, Y Dai, Q Gao, P Wang, T Zhong Knowledge-Based Systems 228, 107214, 2021 | 32 | 2021 |
| Vec2link: Unifying heterogeneous data for social link prediction F Zhou, B Wu, Y Yang, G Trajcevski, K Zhang, T Zhong Proceedings of the 27th ACM International Conference on Information and …, 2018 | 31 | 2018 |
| DeepTrip: Adversarially understanding human mobility for trip recommendation Q Gao, G Trajcevski, F Zhou, K Zhang, T Zhong, F Zhang Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019 | 28 | 2019 |
| Multiple-aspect attentional graph neural networks for online social network user localization T Zhong, T Wang, J Wang, J Wu, F Zhou IEEE Access 8, 95223-95234, 2020 | 26 | 2020 |
| Fast network alignment via graph meta-learning F Zhou, C Cao, G Trajcevski, K Zhang, T Zhong, J Geng IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 686-695, 2020 | 24 | 2020 |
| Mining spatio-temporal relations via self-paced graph contrastive learning R Li, T Zhong, X Jiang, G Trajcevski, J Wu, F Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 23 | 2022 |
Wenxin TaiUniversity of Electronic Science and Technology of ChinaVerified email at std.uestc.edu.cn
