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COEVOLVE: A Joint Point Process Model for Information Diffusion and
  Network Co-evolution

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

8 July 2015
Mehrdad Farajtabar
Yichen Wang
Manuel Gomez Rodriguez
Shuang Li
H. Zha
Le Song
ArXivPDFHTML

Papers citing "COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution"

8 / 8 papers shown
Title
Multi-Relation Aware Temporal Interaction Network Embedding
Multi-Relation Aware Temporal Interaction Network Embedding
Ling Chen
Shanshan Yu
Dandan Lyu
Da Wang
AI4TS
14
1
0
09 Oct 2021
Learning Multivariate Hawkes Processes at Scale
Learning Multivariate Hawkes Processes at Scale
Maximilian Nickel
Matt Le
23
17
0
28 Feb 2020
Neural Jump Stochastic Differential Equations
Neural Jump Stochastic Differential Equations
J. Jia
Austin R. Benson
BDL
8
221
0
24 May 2019
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
13
469
0
16 May 2017
Recurrent Poisson Factorization for Temporal Recommendation
Recurrent Poisson Factorization for Temporal Recommendation
Seyed Abbas Hosseini
Keivan Alizadeh-Vahid
Ali Khodadadi
A. Arabzadeh
Mehrdad Farajtabar
H. Zha
Hamid R. Rabiee
12
56
0
04 Mar 2017
Variational Policy for Guiding Point Processes
Variational Policy for Guiding Point Processes
Yichen Wang
Grady Williams
Evangelos Theodorou
Le Song
13
23
0
30 Jan 2017
The Bursty Dynamics of the Twitter Information Network
The Bursty Dynamics of the Twitter Information Network
Seth A. Myers
J. Leskovec
21
227
0
11 Mar 2014
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
118
977
0
29 Dec 2009
1