Discovering Latent Network Structure in Point Process Data

4 February 2014

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

50 / 78 papers shown

Title
Uncovering Social Network Activity Using Joint User and Topic Interaction Gaspard Abel Argyris Kalogeratos Jean-Pierre Nadal Julien Randon-Furling 20 0 0 15 Jun 2025
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization Qingmei Wang Fanmeng Wang Bing Su Hongteng Xu AI4TS 103 0 0 29 Mar 2025
Nonparametric estimation of Hawkes processes with RKHSs Anna Bonnet Maxime Sangnier 110 0 0 01 Nov 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs Sikun Yang Hongyuan Zha BDL 3DPC AI4TS 41 3 0 26 Dec 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 83 1 0 23 Aug 2023
Deep graph kernel point processes Zheng Dong Matthew Repasky Xiuyuan Cheng Yao Xie 3DPC 98 3 0 20 Jun 2023
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes Xenia Miscouridou Samir Bhatt G. Mohler Seth Flaxman Swapnil Mishra 52 4 0 21 Oct 2022
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels Guillaume Staerman Cédric Allain Alexandre Gramfort Thomas Moreau 111 5 0 10 Oct 2022
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks Hadeel Soliman Lingfei Zhao Zhipeng Huang Subhadeep Paul Kevin S. Xu 55 7 0 02 May 2022
Generalization bounds for learning under graph-dependence: A survey Rui-Ray Zhang Massih-Reza Amini OOD 113 12 0 25 Mar 2022
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models Yixin Wang Anthony Degleris Alex H. Williams Scott W. Linderman 68 5 0 13 Jan 2022
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics Ke Alexander Wang Danielle C. Maddix Yuyang Wang AI4CE 57 1 0 18 Dec 2021
Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou Xingyi Yang Ryan Rossi Handong Zhao Rose Yu 3DPC 89 33 0 12 Dec 2021
Counterfactual Temporal Point Processes Kimia Noorbakhsh Manuel Gomez Rodriguez 87 22 0 15 Nov 2021
Discovering Latent Representations of Relations for Interacting Systems Dohae Lee Young-Jin Oh In-Kwon Lee BDL 60 1 0 10 Nov 2021
Latent Network Embedding via Adversarial Auto-encoders Minglong Lei Yong Shi Lingfeng Niu GNN 32 0 0 30 Sep 2021
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes Xu Wang Ali Shojaie 3DPC 75 3 0 23 Sep 2021
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes Xu Wang Ali Shojaie CML 3DPC 79 2 0 22 Sep 2021
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions Tianbo Li Tian-jian Luo Yiping Ke Sinno Jialin Pan 37 4 0 07 Jul 2021
Educators, Solicitors, Flamers, Motivators, Sympathizers: Characterizing Roles in Online Extremist Movements S. Phadke Tanushree Mitra 25 13 0 18 May 2021
Fine-Grained $ε$ -Margin Closed-Form Stabilization of Parametric Hawkes Processes Rafael Lima 23 0 0 08 May 2021
Interval-censored Hawkes processes Marian-Andrei Rizoiu Alexander Soen Shidi Li Pio Calderon Leanne Dong A. Menon Lexing Xie 63 10 0 16 Apr 2021
Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition Anna Bonnet M. Herrera Maxime Sangnier 55 21 0 09 Mar 2021
Mutually exciting point process graphs for modelling dynamic networks Francesco Sanna Passino N. Heard 115 17 0 11 Feb 2021
Hawkes Processes Modeling, Inference and Control: An Overview Rafael Lima 56 11 0 26 Nov 2020
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 111 12 0 15 Jul 2020
Latent Network Structure Learning from High Dimensional Multivariate Point Processes Biao Cai Jingfei Zhang Yongtao Guan 116 20 0 07 Apr 2020
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels Fatih Ilhan Suleyman S. Kozat 36 7 0 07 Mar 2020
Learning Multivariate Hawkes Processes at Scale Maximilian Nickel Matt Le 88 17 0 28 Feb 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 87 295 0 21 Feb 2020
Group Network Hawkes Process Guanhua Fang Ganggang Xu Haochen Xu Xuening Zhu Yongtao Guan 135 22 0 20 Feb 2020
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization Xiaoyu Zhang Changsheng Li Haichao Shi Xiaobin Zhu Peng Li Jing Dong 75 37 0 27 Nov 2019
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset Desmond C. Ong Zhengxuan Wu Zhi-Xuan Tan Marianne C. Reddan Isabella Kahhale Alison Mattek Jamil Zaki AI4TS 67 59 0 22 Nov 2019
Learning Hawkes Processes from a Handful of Events Farnood Salehi W. Trouleau Matthias Grossglauser Patrick Thiran BDL CML 131 37 0 01 Nov 2019
Poisson-Randomized Gamma Dynamical Systems Aaron Schein Scott W. Linderman Mingyuan Zhou David M. Blei Hanna M. Wallach 70 19 0 28 Oct 2019
Better Approximate Inference for Partial Likelihood Models with a Latent Structure Amrith Rajagopal Setlur Barnabás Póczós TPM 6 0 0 22 Oct 2019
Generalized Evolutionary Point Processes: Model Specifications and Model Comparison P. White A. Gelfand 108 4 0 15 Oct 2019
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls José F. Rodrigues Gabriel Spadon Bruno Brandoli S. Amer-Yahia 42 9 0 10 Sep 2019
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds Rui Zhang Xingwu Liu Yuyi Wang Liwei Wang 32 22 0 05 Sep 2019
Meta Learning with Relational Information for Short Sequences Yujia Xie Haoming Jiang Feng Liu T. Zhao H. Zha 86 14 0 04 Sep 2019
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation Makan Arastuie Subhadeep Paul Kevin S. Xu 151 2 0 19 Aug 2019
Contrastive Training for Models of Information Cascades Shaobin Xu David A. Smith 35 3 0 11 Dec 2018
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction Baichuan Yuan Hao Li Andrea L. Bertozzi P. Brantingham M. A. Porter 62 55 0 15 Nov 2018
Estimating Network Structure from Incomplete Event Data Benjamin Mark Garvesh Raskutti Rebecca Willett 65 4 0 07 Nov 2018
Consistency and Computation of Regularized MLEs for Multivariate Hawkes Processes Xin Guo Anran Hu Renyuan Xu Junzi Zhang 120 9 0 06 Oct 2018
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes Srikanta J. Bedathur Indrajit Bhattacharya Jayesh Choudhari A. Dasgupta 35 8 0 12 Sep 2018
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process Peiyuan Suny Jianxin Li Yongyi Mao Richong Zhang Lihong Wang 66 5 0 24 Aug 2018
Fast Estimation of Causal Interactions using Wold Processes Flavio Figueiredo Guilherme R. Borges Pedro O. S. Vaz de Melo Renato M. Assunção 62 9 0 12 Jul 2018
A Review of Network Inference Techniques for Neural Activation Time Series G. Panagopoulos 44 0 0 20 Jun 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 81 10 0 23 May 2018