RNe2Vec: information diffusion popularity prediction based on repost network embedding
暂无分享,去创建一个
Lexi Xu | Jiaxing Shang | Dingyang Zhang | Shuo Huang | Z. Peng | Dajiang Liu | Yong Li
[1] Albert Y. Zomaya,et al. A Novel Generation-Adversarial-Network-Based Vehicle Trajectory Prediction Method for Intelligent Vehicular Networks , 2021, IEEE Internet of Things Journal.
[2] Philip S. Yu,et al. Deep Collaborative Embedding for information cascade prediction , 2020, Knowl. Based Syst..
[3] Liang Zhao,et al. DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding , 2020, IEEE Access.
[4] Jing Zhao,et al. Identifying influential nodes in complex networks based on a spreading influence related centrality , 2019, Physica A: Statistical Mechanics and its Applications.
[5] Wenan Zhou,et al. A survey of word embeddings based on deep learning , 2019, Computing.
[6] Tsuyoshi Murata,et al. Fast Approximations of Betweenness Centrality with Graph Neural Networks , 2019, CIKM.
[7] Wenwu Zhu,et al. Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction , 2019 .
[8] Tao Zhou,et al. Optimal interlayer structure for promoting spreading of the susceptible-infected-susceptible model in two-layer networks. , 2019, Physical review. E.
[9] Philippe Cudré-Mauroux,et al. Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach , 2019, WWW.
[10] Wenjie Li,et al. Information Diffusion Prediction with Network Regularized Role-based User Representation Learning , 2019, ACM Trans. Knowl. Discov. Data.
[11] Wei Wang,et al. Coevolution spreading in complex networks , 2019, Physics Reports.
[12] Jian Pei,et al. A Survey on Network Embedding , 2017, IEEE Transactions on Knowledge and Data Engineering.
[13] Ping Li,et al. Deep Skip-Gram Networks for Text Classification , 2019, SDM.
[14] Alberto Montresor,et al. gat2vec: representation learning for attributed graphs , 2018, Computing.
[15] Yuan Zhang,et al. COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades , 2018, AAAI.
[16] Yueting Zhuang,et al. Dynamic Network Embedding by Modeling Triadic Closure Process , 2018, AAAI.
[17] Swapnil Mishra,et al. SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations , 2017, WWW.
[18] Jian Li,et al. Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec , 2017, WSDM.
[19] Josiane Mothe,et al. Predicting information diffusion on Twitter - Analysis of predictive features , 2017, J. Comput. Sci..
[20] Kevin Chen-Chuan Chang,et al. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications , 2017, IEEE Transactions on Knowledge and Data Engineering.
[21] Yong Feng,et al. LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks , 2018, IEEE Access.
[22] Liang Zhao,et al. New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems , 2017, Comput. Intell. Neurosci..
[23] Yun Wang,et al. A Cascading Diffusion Prediction Model in Micro-blog Based on Multi-dimensional Features , 2017, EIDWT.
[24] Hui Xiong,et al. An Influence Propagation View of PageRank , 2017, ACM Trans. Knowl. Discov. Data.
[25] Nei Kato,et al. A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data , 2017, IEEE Transactions on Industrial Informatics.
[26] Xin Li,et al. CoFIM: A community-based framework for influence maximization on large-scale networks , 2017, Knowl. Based Syst..
[27] Swapnil Mishra,et al. Feature Driven and Point Process Approaches for Popularity Prediction , 2016, CIKM.
[28] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[29] Mohamed Roushdy,et al. Towards Feature Selection for Cascade Growth Prediction on Twitter , 2016, INFOS '16.
[30] Yong Deng,et al. Identifying influential spreaders by weight degree centrality in complex networks , 2016 .
[31] Xueqi Cheng,et al. Modeling and Predicting Retweeting Dynamics via a Mixture Process , 2016, WWW.
[32] Sylvain Lamprier,et al. Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model , 2016, WSDM.
[33] Shuang Li,et al. COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution , 2015, NIPS.
[34] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.
[35] Xiaoming Zhang,et al. Event detection and popularity prediction in microblogging , 2015, Neurocomputing.
[36] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.