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 | 196 | 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 | 191 | 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 | 153 | 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 | 119 | 2020 |
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 | 119 | 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 |
Trajectory-User Linking via Variational AutoEncoder. F Zhou, Q Gao, G Trajcevski, K Zhang, T Zhong, F Zhang IJCAI, 3212-3218, 2018 | 109 | 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 | 72 | 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 | 59 | 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 | 45 | 2019 |
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 | 44 | 2022 |
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 |
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 | 39 | 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 | 37 | 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 | 35 | 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 |
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 | 28 | 2022 |
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 | 27 | 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 | 26 | 2020 |