Guojie Song
Guojie Song
Professor (Research), Tenured of Peking University
Verified email at - Homepage
Cited by
Cited by
Deep architecture for traffic flow prediction: deep belief networks with multitask learning
W Huang, G Song, H Hong, K Xie
IEEE Transactions on Intelligent Transportation Systems(T-ITS) 15 (5), 2191-2201, 2014
Community-based greedy algorithm for mining top-k influential nodes in mobile social networks
Y Wang, G Cong, G Song, K Xie
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
Influence blocking maximization in social networks under the competitive linear threshold model
X He, G Song, W Chen, Q Jiang
Proceedings of the 2012 siam international conference on data mining (SDM …, 2012
Simulated annealing based influence maximization in social networks
Q Jiang, G Song, C Gao, Y Wang, W Si, K Xie
Twenty-fifth AAAI conference on artificial intelligence(AAAI), 2011
Spatial-temporal graph ode networks for traffic flow forecasting
Z Fang, Q Long, G Song, K Xie
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Deep air learning: Interpolation, prediction, and feature analysis of fine-grained air quality
Z Qi, T Wang, G Song, W Hu, X Li, Z Zhang
IEEE Transactions on Knowledge and Data Engineering(TKDE) 30 (12), 2285-2297, 2018
Dynamic network embedding: An extended approach for skip-gram based network embedding.
L Du, Y Wang, G Song, Z Lu, J Wang
IJCAI 2018, 2086-2092, 2018
Heterogeneous graph structure learning for graph neural networks
J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4697-4705, 2021
A deep spatial-temporal ensemble model for air quality prediction
J Wang, G Song
Neurocomputing 314, 198-206, 2018
Multi-Component Graph Convolutional Collaborative Filtering
X Wang, R Wang, C Shi, G Song, Q Li
AAAI2020, 2020
Influence maximization on large-scale mobile social network: a divide-and-conquer method
G Song, X Zhou, Y Wang, K Xie
IEEE Transactions on Parallel and Distributed Systems(TPDS) 26 (5), 1379-1392, 2014
Streaming Graph Neural Networks via Continual Learning
J Wang, G Song, Y Wu, L Wang
CIKM2020, 1515-1524, 2020
Influential node tracking on dynamic social network: An interchange greedy approach
G Song, Y Li, X Chen, X He, J Tang
IEEE Transactions on Knowledge and Data Engineering(TKDE) 29 (2), 359-372, 2016
MEgo2Vec: Embedding matched ego networks for user alignment across social networks
J Zhang, B Chen, X Wang, H Chen, C Li, F Jin, G Song, Y Zhang
Proceedings of the 27th ACM International Conference on Information and …, 2018
Lorentzian graph convolutional networks
Y Zhang, X Wang, C Shi, N Liu, G Song
Proceedings of the web conference 2021, 1249-1261, 2021
Dane: Domain adaptive network embedding
Y Zhang, G Song, L Du, S Yang, Y Jin
IJCAI 2019, 2019
A fast and efficient algorithm for mining top-k nodes in complex networks
D Liu, Y Jing, J Zhao, W Wang, G Song
Scientific reports 7 (1), 43330, 2017
An experimental study of large-scale mobile social network
ZB Dong, GJ Song, KQ Xie, JY Wang
Proceedings of the 18th international conference on World Wide Web(WWW …, 2009
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Z Cheng, Y Yang, W Wang, W Hu, Y Zhuang, G Song
AAAI2020, 2020
Galaxy network embedding: a hierarchical community structure preserving approach.
L Du, Z Lu, Y Wang, G Song, Y Wang, W Chen
IJCAI, 2079-2085, 2018
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