Publications
Note: This page doesn’t contain all papers.
- To view the abstract information of all papers, you can visit my Google Scholar or Aminer homepage.
- To download them, you can either click the links here or visit the DBLP website.
2021
- Qingqing Long, Yilun Jin, Yi Wu , Guojie Song*. Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. The Web Conference 2021.
- Xiaojun Ma,Junshan Wang, Hanyue Zhang, Guojie Song*. Improving Graph Neural Networks with Structural Adaptive Receptive Fields. The Web Conference 2021.
- Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu and Guojie Song. Lorentzian Graph Convolutional Networks. The Web Conference 2021.
- Ziyao Li, Shuwen Yang, Guojie Song. Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. ICLR2021.
- Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu: Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. SDM2021.
- Yi LI, Yilun Jin, Guojie Song*, Zihao Zhu, Chuan Shi, Yiming Wang. GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. AAAI2021.
- Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye. Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI2021.
2020
- Guojie Song, Yun Wang, Lun Du, Yi Wu, Junshan Wang. A Hierarchical Structure Preserving Network Embedding Approach. Accepted by ACM Transactions on KDD.【CCF B】
- Haibing Lu, Qi Liu, Samorani Michele, Guojie Song, Xi Chen, Yanjiang Yang. Stochastic Workflow Authorizations with Queueing Constraints, Accepted by IEEE Transactions on Dependable and Secure Computing.【CCF A】
- Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song: Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts. ADMA2020. 【Best Research Paper Award】
- Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu. Network Embedding Across Adaptive Domains. To appear in IEEE Transactions on Big Data.
- Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, and Chuan Shi. Learning Node Representations from Noisy Graph Structures. ICDM2020 【CCF B】
- Junshan Wang, Guojie Song, Yi Wu, Liang Wang. Streaming Graph Neural Networks via Continuous Learning. CIKM2020【CCF B】
- Guojie Song, Liang Zhang, Ziyao Li, Yi Li. Large Scale Network Embedding: A Separable Approach, TKDE2020【CCF A】
- Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin. Graph Structural-topic Neural Network, KDD2020【CCF A】
- Shuwen Yang, Guojie Song, Yilun Jin, Lun Du. Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI2020【CCF A】
- Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin. Active Domain Transfer on Network Embedding. WWW2020 【CCF A】
- Junshan Wang, Yilun Jin, Guojie Song and Xiaojun Ma .EPNE: Evolutionary Pattern Preserving Network Embedding.ECAI 2020 【CCF B】
- Shuai Liu, Wenhao Huang, Guojie Song. Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning. TKDD 【CCF B】
- Xiao Wang, Ruijie Wang, Chuan Shi, Guojie Song. Multi-Component Graph Convolutional Collaborative Filtering. AAAI2020. 【CCF A】
- Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song. Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. AAAI2020. 【CCF A】
- Yilun Jin, Guojie Song, Chuan Shi. GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI2020.【CCF A】
2019
- Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Wei Lin. Subspace Network Embedding: A Hierarchical Community Structure Preserving Approach. CIKM2019.【Best Paper Runner Up Awarded】
- Yun Wang, Guojie Song, Lun Du, Zhicong Lu. Real-time Estimation of the Urban Air Quality with Mobile Sensor System. TKDD 13(5): 49:11-49:19 (2019). 【CCF B】
- Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang. DANE: Domain Adaptive Network Embedding. IJCAI’19. 【CCF A】
- Yun Wang, Du Lun, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin. Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. IJCAI’19【CCF A】
- Ziyao Li, Liang Zhang, Guojie Song. GCN-LASE: Towards Adequately Leveraging Link Attributes in Graph Convolutional Networks. IJCAI’09. 【CCF A】
- Junshan Wang, zhicong Lu, Guojie Song, Yue Fan, and Lun Du. Tag2Vec: Learning Tag Representations in Tag Networks. WWW2019【CCF A】
- Guojie Song, Yuanhao Li, Junshan Wang, Lun Du. Inferring Explicit and Implicit Social Ties Simultaneously in Mobile Social Network. SCIENCE CHINA Information Sciences. 【CCF B】
- Ziyao Li, Liang Zhang, Guojie Song. SepNE: Bringing Separability to Network Embedding. AAAI2019【CCF A】
- Sizhen Du, Guojie Song, Haikun Hong. Collective Causal Inference with Lag Estimation. Neurocomputing 323: 299-310 (2019).【SCI, IF3.241】
2018
- Yizhou Zhang, Xiaojun Ma, Guojie Song. Chinese Medical Concept Normalization by Using Comorbidity Network Embedding Method. ICDM2018. 【CCF B】
- Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Guojie Song, Yutao Zhang, Fengmei Jin. MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. CIKM2018. 【CCF B】
- Junshan Wang, Guojie Song. A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction. Neurocomputing 314: 198-206 (2018). 【SCI, IF3.241】
- Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen. Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. IJCAI2018. 【CCF A】
- Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang. Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding. IJCAI2018. 【CCF A】
- Qin Tian, Wufan Shangguan, Guojie Song, Jie Tang. Spatio-Temporal Routine Mining on Mobile Phone Data, ACM Transactions on Knowledge Discovery from Data. TKDD, Volume 12 Issue 5, July 2018, Article No. 56. 【CCF B】
- Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei (Mark) Zhang. Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality. IEEE Trans. Knowl. Data Eng (TKDE). 【CCF A】
- Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi. Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. AAAI 2018.【CCF A】
- Sizhen Du, Lei Han, Guojie Song. Temporal Causal Inference with Time Lag. Neural Computation, 30 (1), 271-291(2018). 【CCF B】
- Zhao Tong, Guojie Song, Xinran He. Inferring diffusion networks with life stage heterogeneity. SCIENCE CHINA Information Sciences 61 (9), 092101,(2018). 【CCF B】
- Peng Dou, Guojie Song, Tong Zhao. Network Topology Inference from Incomplete Observation Data. SCIENCE CHINA Information Sciences 61 (2), 092101,(2018). 【CCF B】
- Lun Du, Guojie Song, Yiming Wang, Jipeng Huang, Mengfei Ruan, Zhangyuang Yu.Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach. IEEE Intell. Transport. Syst. Mag. 10(1): 107-120 (2018). 【SCI, IF3.654】
- Sizhen Du, Guojie Song, Haikun Hong. Learning Dynamic Dependency Network Structure with Time Lag. SCIENCE CHINA Information Sciences v61, n5, May 1, 2018. 【CCF B】
2017
- Dong Liu, Yun Jing, Jing Zhao, Wenjun Wang, Guojie Song. A Fast and Efficient Algorithm for Mining Top-k Nodes in Complex Networks. Scientific Reports. 2017 Feb 27;7:43330. 5-year IF=5.525
- Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, and Jimeng Sun. StructInf: Mining Structural Influence from Social Streams. AAAI 2017: 73-80. 【CCF A】
- Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang. Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. (TKDE2017) 29(2): 359-372 (2017)【CCF A】
2016 and Earlier
- Guojie Song, Lei Han, Kunqing Xie. Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. (TKDE2015):2217-2230.【CCF A】
- Guojie Song, Xiabing Zhou, Yu Wang, Kunqing Xie: Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method. IEEE Transactions on TPDS2015:1379-1392【CCF A】
- Wenhao Huang, Guojie Song, Haikun Hong, Kunqing Xie. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning. IEEE Transactions on ITS2014:2191-2201【WOS:000343002400029】【ESI Paper】
- Lei Han, Yu Zhang, Guojie Song, Kunqing Xie: Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI2014:1854-1860【CCF A】
- Lei Han, Guojie Song, Gao Cong, Kunqing Xie: Overlapping decomposition for causal graphical modeling. KDD2012:114-122.【CCF A】
- Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Kunqing Xie. Simulated Annealing based Influence Maximization in Social Networks. AAAI 2011:127-132【CCF A】
- Yu Wang, Gao Cong, Guojie Song, Kunqing Xie: Community-based greedy algorithm for mining top-K influential nodes in social networks. KDD:2010:1039-1048.【CCF A】
- Tian Qin, Guojie Song, Sizhen Du: Routine Mining Based Anomaly Detection in Mobile Phone Data. SDM 2016: 180-188【CCF B】 9 Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie. On Influential Nodes Tracking in Dynamic Social Networks. SDM 2015:613-621. 【CCF B】
- Xinran He, Guojie Song, Wei Chen, Qingye Jiang. Influence blocking maximization in social networks under the competitive linear threshold model. SDM 2012:463-474. 【CCF B】
- Zheng-Bin Dong, Guo-Jie Song, Kun-Qing Xie, Jing-Yao Wang: An experimental study of large-scale mobile social network. WWW 2009: 1175-1176【CCF A】