Note: This page doesn’t contain all papers.


  1. Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song*, Jianye HAO. Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS2022.
  2. Zheng Fang, Ziyun Zhang, Guojie Song*, Yingxue Zhang, Dong Li, Jianye Hao, and Xi Wang,. Invariant Factor Graph Neural Networks. ICDM2022.
  3. Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu and Guojun Liu. Taxonomy-Enhanced Graph Neural Networks. CIKM2022.
  4. Junshan Wang, Wenhao Zhu, Weiyu Zhang, Guojie Song, Liang Wang. Streaming Graph Neural Networks via Generative Replay. KDD 2022.
  5. Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long and Yingxue Zhang. Polarized Graph Neural Networks. TheWebConf 2022.
  6. Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song and Liang Wang. Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. TheWebConf 2022.
  7. Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi. Learning Discrete Adaptive Receptive Fields for Graph Convolutional Networks. SCIENCE CHINA Information Sciences.


  1. Shuwen Yang, Ziyao Li, Guojie Song*, Lingsheng Cai. Deep Molecular Representation Learning via Fusing Physical and Chemical Information. NeurIPS 2021.
  2. Xiaojun Ma, Hanyue Chen, Guojie Song*. EnergyReg: Alleviating Over-Smoothing in Graph Neural Networks with Local Energy. CIKM 2021.
  3. Zheng Fang, Qingqing Long, Guojie Song*, Kunqing Xie. Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. KDD2021.
  4. Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song*. HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. KDD 2021.
  5. Ziyao Li, Shuwen Yang, Guojie Song*. Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. ICLR2021.
  6. Qingqing Long, Yilun Jin, Yi Wu , Guojie Song*. Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. The Web Conference 2021.
  7. Xiaojun Ma,Junshan Wang, Hanyue Zhang, Guojie Song*. Improving Graph Neural Networks with Structural Adaptive Receptive Fields. The Web Conference 2021.
  8. Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu and Guojie Song. Lorentzian Graph Convolutional Networks. The Web Conference 2021.
  9. Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu: Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. SDM2021.
  10. 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.
  11. Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye. Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI2021.


  1. 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】
  2. 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】
  3. Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song: Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts. ADMA2020. 【Best Research Paper Award】
  4. Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu. Network Embedding Across Adaptive Domains. To appear in IEEE Transactions on Big Data.
  5. Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, and Chuan Shi. Learning Node Representations from Noisy Graph Structures. ICDM2020 【CCF B】
  6. Junshan Wang, Guojie Song, Yi Wu, Liang Wang. Streaming Graph Neural Networks via Continuous Learning. CIKM2020【CCF B】
  7. Guojie Song, Liang Zhang, Ziyao Li, Yi Li. Large Scale Network Embedding: A Separable Approach, TKDE2020【CCF A】
  8.  Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin. Graph Structural-topic Neural Network, KDD2020【CCF A】
  9. Shuwen Yang, Guojie Song, Yilun Jin, Lun Du. Domain Adaptive Classification on Heterogeneous Information Networks. IJCAI2020【CCF A】
  10. Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin. Active Domain Transfer on Network Embedding. WWW2020 【CCF A】
  11. Junshan Wang, Yilun Jin, Guojie Song and Xiaojun Ma .EPNE: Evolutionary Pattern Preserving Network Embedding.ECAI 2020 【CCF B】
  12. Shuai Liu, Wenhao Huang, Guojie Song. Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning. TKDD 【CCF B】
  13. Xiao Wang, Ruijie Wang, Chuan Shi, Guojie Song. Multi-Component Graph Convolutional Collaborative Filtering. AAAI2020. 【CCF A】
  14. Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song. Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. AAAI2020. 【CCF A】
  15. Yilun Jin, Guojie Song, Chuan Shi. GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI2020.【CCF A】


  1. 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
  2. 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】
  3. Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang. DANE: Domain Adaptive Network Embedding. IJCAI’19. 【CCF A】
  4. 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】
  5. Ziyao Li, Liang Zhang, Guojie Song. GCN-LASE: Towards Adequately Leveraging Link Attributes in Graph Convolutional Networks. IJCAI’09. 【CCF A】
  6. Junshan Wang, zhicong Lu, Guojie Song, Yue Fan, and Lun Du. Tag2Vec: Learning Tag Representations in Tag Networks. WWW2019【CCF A】
  7. 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】
  8. Ziyao Li, Liang Zhang, Guojie Song. SepNE: Bringing Separability to Network Embedding. AAAI2019【CCF A】
  9. Sizhen Du, Guojie Song, Haikun Hong. Collective Causal Inference with Lag Estimation. Neurocomputing 323: 299-310 (2019).【SCI, IF3.241】


  1. Yizhou Zhang, Xiaojun Ma, Guojie Song. Chinese Medical Concept Normalization by Using Comorbidity Network Embedding Method. ICDM2018. 【CCF B】
  2. 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】
  3. Junshan Wang, Guojie Song. A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction. Neurocomputing 314: 198-206 (2018). 【SCI, IF3.241】
  4. Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen. Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. IJCAI2018. 【CCF A】
  5. 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】
  6. 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】
  7. 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】
  8. Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi. Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. AAAI 2018.【CCF A】
  9. Sizhen Du, Lei Han, Guojie Song. Temporal Causal Inference with Time Lag. Neural Computation, 30 (1), 271-291(2018). 【CCF B】
  10. Zhao Tong, Guojie Song, Xinran He. Inferring diffusion networks with life stage heterogeneity. SCIENCE CHINA Information Sciences 61 (9), 092101,(2018). 【CCF B】
  11. Peng Dou, Guojie Song, Tong Zhao. Network Topology Inference from Incomplete Observation Data. SCIENCE CHINA Information Sciences 61 (2), 092101,(2018). 【CCF B】
  12. 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】
  13. 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】


  1. 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
  2. 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】
  3. 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

  1. Guojie Song, Lei Han, Kunqing Xie. Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. (TKDE2015):2217-2230.【CCF A】
  2. 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】
  3. 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
  4. Lei Han, Yu Zhang, Guojie Song, Kunqing Xie: Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI2014:1854-1860【CCF A】
  5. Lei Han, Guojie Song, Gao Cong, Kunqing Xie: Overlapping decomposition for causal graphical modeling. KDD2012:114-122.【CCF A】
  6. Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Kunqing Xie. Simulated Annealing based Influence Maximization in Social Networks. AAAI 2011:127-132【CCF A】
  7. 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】
  8. 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】
  9. 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】
  10. 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】