Discovering Latent Network Structure in Point Process Data

4 February 2014

Papers citing "Discovering Latent Network Structure in Point Process Data"

28 / 78 papers shown

Title
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data Xenia Miscouridou François Caron Yee Whye Teh 46 20 0 16 Mar 2018
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays Kar Wai Lim Young Lee L. Hanlen Hongbiao Zhao 16 2 0 13 Mar 2018
Network Estimation from Point Process Data Benjamin Mark Garvesh Raskutti Rebecca Willett 3DPC 109 29 0 13 Feb 2018
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks Ruthwik R. Junuthula Maysam Haghdan Kevin S. Xu Vijay Devabhaktuni 147 31 0 29 Nov 2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks Yin Cheng Ng Ricardo M. A. Silva 153 6 0 11 Oct 2017
THAP: A Matlab Toolkit for Learning with Hawkes Processes Hongteng Xu H. Zha 49 13 0 28 Aug 2017
Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao Mehrdad Farajtabar X. Ye Junchi Yan Le Song H. Zha DiffM 84 169 0 23 May 2017
Make Hawkes Processes Explainable by Decomposing Self-Triggering Kernels Rafael Lima Jaesik Choi AI4TS 8 2 0 27 Mar 2017
Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar Jiachen Yang X. Ye Huan Xu Rakshit S. Trivedi Elias Boutros Khalil Shuang Li Le Song H. Zha GNN 95 155 0 22 Mar 2017
Semi-parametric Network Structure Discovery Models Amir Dezfouli Edwin V. Bonilla Richard Nock 23 1 0 27 Feb 2017
Continuous-Time User Modeling in the Presence of Badges: A Probabilistic Approach Ali Khodadadi Seyed Abbas Hosseini Erfan Tavakoli Hamid R. Rabiee 32 4 0 07 Feb 2017
Spatio-Temporal Modeling of Users' Check-ins in Location-Based Social Networks Ali Zarezade Sina Jafarzadeh Hamid R. Rabiee 42 7 0 23 Nov 2016
Hawkes Processes with Stochastic Excitations Young Lee Kar Wai Lim Cheng Soon Ong 129 35 0 22 Sep 2016
An Efficient and Flexible Spike Train Model via Empirical Bayes Qi She Xiaoli Wu Beth Jelfs Adam S. Charles Rosa H.M.Chan 51 0 0 10 May 2016
Chained Gaussian Processes Alan D. Saul J. Hensman Aki Vehtari Neil D. Lawrence 55 59 0 18 Apr 2016
Detecting weak changes in dynamic events over networks Shuang Li Yao Xie Mehrdad Farajtabar Apurv Verma Le Song 113 9 0 29 Mar 2016
Submodular Variational Inference for Network Reconstruction Lin Chen Forrest W. Crawford Amin Karbasi 41 5 0 29 Mar 2016
Learning Network of Multivariate Hawkes Processes: A Time Series Approach Jalal Etesami Negar Kiyavash Kun Zhang K. Singhal CML AI4TS 59 65 0 14 Mar 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Edward Choi M. T. Bahadori A. Schuetz Walter F. Stewart Jimeng Sun 276 1,105 0 18 Nov 2015
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling Lin Chen Forrest W. Crawford Amin Karbasi 54 7 0 13 Nov 2015
Mean-field inference of Hawkes point processes Emmanuel Bacry Stéphane Gaïffas I. Mastromatteo Jean-François Muzy 33 14 0 04 Nov 2015
Scalable Bayesian Inference for Excitatory Point Process Networks Scott W. Linderman Ryan P. Adams 69 58 0 12 Jul 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution Mehrdad Farajtabar Yichen Wang Manuel Gomez Rodriguez Shuang Li H. Zha Le Song 124 243 0 08 Jul 2015
Sparse and low-rank multivariate Hawkes processes Emmanuel Bacry Martin Bompaire Stéphane Gaïffas Jean-François Muzy 102 51 0 04 Jan 2015
Concentration for matrix martingales in continuous time and microscopic activity of social networks Emmanuel Bacry Stéphane Gaïffas Jean-François Muzy 41 5 0 24 Dec 2014
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation Fangjian Guo Charles Blundell Hanna M. Wallach Katherine A. Heller 66 2 0 11 Nov 2014
Tracking Dynamic Point Processes on Networks Eric C. Hall Rebecca Willett 126 61 0 29 Aug 2014
Online Optimization in Dynamic Environments Eric C. Hall Rebecca Willett 142 28 0 23 Jul 2013