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Inferring Networks of Diffusion and Influence
1 June 2010
Manuel Gomez Rodriguez
J. Leskovec
Andreas Krause
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Papers citing
"Inferring Networks of Diffusion and Influence"
50 / 79 papers shown
Title
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
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Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
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Abhijin Adiga
Madhav Marathe
S. S. Ravi
D. Rosenkrantz
R. Stearns
Anil Vullikanti
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DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks
Yuxin Zuo
Haojia Sun
Yongyi Hu
Jianxiong Guo
Xiaofeng Gao
50
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18 Nov 2023
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
Maryam Ramezani
Aryan Ahadinia
Erfan Farhadi
Hamid R. Rabiee
29
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02 Oct 2023
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures
Yu Wang
Jin-Zhu Yu
H. Baroud
41
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28 Nov 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version)
Yuting Feng
Bogdan Cautis
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AI4TS
76
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04 Oct 2022
Learning to Infer Structures of Network Games
Emanuele Rossi
Federico Monti
Yan Leng
Michael M. Bronstein
Xiaowen Dong
92
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0
16 Jun 2022
Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit
Hans W. A. Hanley
Deepak Kumar
Zakir Durumeric
38
46
0
28 May 2022
Graph Representation Learning for Popularity Prediction Problem: A Survey
Tiantian Chen
Jianxiong Guo
Wei-Ping Wu
GNN
36
3
0
15 Mar 2022
Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)
A. Iacob
Bogdan Cautis
Silviu Maniu
23
3
0
13 Jan 2022
Execution Order Matters in Greedy Algorithms with Limited Information
Rohit Konda
David Grimsman
Jason R. Marden
62
11
0
02 Nov 2021
The Power of Subsampling in Submodular Maximization
Christopher Harshaw
Ehsan Kazemi
Moran Feldman
Amin Karbasi
99
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06 Apr 2021
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
Weiyu Chen
H. Ishibuchi
Ke Shang
45
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01 Feb 2021
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification
Xiaotian Xie
Dimitrios Katselis
Carolyn L. Beck
R. Srikant
CML
36
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0
17 Oct 2020
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
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169
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31 Jul 2020
Network Diffusions via Neural Mean-Field Dynamics
Shushan He
H. Zha
X. Ye
DiffM
56
6
0
16 Jun 2020
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
Shixiang Zhu
Ruyi Ding
Minghe Zhang
Pascal Van Hentenryck
Yao Xie
3DPC
57
22
0
15 May 2020
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
M. Khajehnejad
Ahmad Asgharian Rezaei
Mahmoudreza Babaei
Jessica Hoffmann
Mahdi Jalili
Adrian Weller
FaML
69
51
0
08 May 2020
Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu
Minghe Zhang
Ruyi Ding
Yao Xie
3DPC
45
3
0
17 Feb 2020
Inferring Individual Level Causal Models from Graph-based Relational Time Series
Ryan Rossi
Somdeb Sarkhel
Nesreen Ahmed
CML
30
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16 Jan 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
Zhaozhi Qian
Ahmed Alaa
Alexis Bellot
J. Rashbass
M. Schaar
DiffM
MedIm
66
18
0
08 Jan 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Aravind Sankar
Xinyang Zhang
A. Krishnan
Jiawei Han
GNN
74
83
0
01 Jan 2020
Sample Complexity Bounds for Influence Maximization
Gal Sadeh
E. Cohen
Haim Kaplan
48
12
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31 Jul 2019
Graph Neural Lasso for Dynamic Network Regression
Yixin Chen
Lin Meng
Jiawei Zhang
AI4TS
51
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25 Jul 2019
TEAGS: Time-aware Text Embedding Approach to Generate Subgraphs
Saeid Hosseini
Saeed Najafipour
Ngai-Man Cheung
Hongzhi Yin
M. Kangavari
Xiaofang Zhou
37
12
0
06 Jul 2019
Non-monotone DR-submodular Maximization: Approximation and Regret Guarantees
C. Dürr
Nguyen Kim Thang
Abhinav Srivastav
Léo Tible
43
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0
23 May 2019
Reconstruction of C&C Channel for P2P Botnet
Mohammad Jafari Dehkordi
B. Sadeghiyan
26
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10 Apr 2019
Network reconstruction and community detection from dynamics
Tiago P. Peixoto
84
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26 Mar 2019
Adaptive Sequence Submodularity
Marko Mitrovic
Ehsan Kazemi
Moran Feldman
Andreas Krause
Amin Karbasi
62
27
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15 Feb 2019
Learning Quadratic Games on Networks
Yan Leng
Xiaowen Dong
Junfeng Wu
Alex Pentland
GNN
87
19
0
21 Nov 2018
Learning Temporal Point Processes via Reinforcement Learning
Shuang Li
Shuai Xiao
Shixiang Zhu
Nan Du
Yao Xie
Le Song
AI4TS
109
105
0
12 Nov 2018
Network Modeling and Pathway Inference from Incomplete Data ("PathInf")
Xiang Li
Qitian Chen
Xing Wang
Ning Guo
Na Wu
Quanzheng Li
24
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01 Oct 2018
Improved Bounds on Information Dissemination by Manhattan Random Waypoint Model
A. Rezaei
Jie Gao
J. M. Phillips
Csaba D. Tóth
25
4
0
19 Sep 2018
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process
Peiyuan Suny
Jianxin Li
Yongyi Mao
Richong Zhang
Lihong Wang
53
5
0
24 Aug 2018
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu
Varun Gupta
Mladen Kolar
66
8
0
14 Jun 2018
Data Summarization at Scale: A Two-Stage Submodular Approach
Marko Mitrovic
Ehsan Kazemi
Morteza Zadimoghaddam
Amin Karbasi
69
45
0
07 Jun 2018
Learning graphs from data: A signal representation perspective
Xiaowen Dong
D. Thanou
Michael G. Rabbat
P. Frossard
134
381
0
03 Jun 2018
Diffusion Based Network Embedding
Yong Shi
Minglong Lei
Peng Zhang
Lingfeng Niu
52
4
0
09 May 2018
Stochastic Dynamic Programming Heuristics for Influence Maximization-Revenue Optimization
Y. Jung
36
14
0
28 Feb 2018
Online Continuous Submodular Maximization
Lin Chen
Hamed Hassani
Amin Karbasi
117
86
0
16 Feb 2018
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang
V. Zheng
Zemin Liu
Kevin Chen-Chuan Chang
DiffM
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81
173
0
28 Nov 2017
Estimation of a Low-rank Topic-Based Model for Information Cascades
Ming Yu
Varun Gupta
Mladen Kolar
84
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0
06 Sep 2017
Causal Inference Under Network Interference: A Framework for Experiments on Social Networks
E. Kao
CML
102
14
0
28 Aug 2017
Gradient Methods for Submodular Maximization
Hamed Hassani
Mahdi Soltanolkotabi
Amin Karbasi
83
133
0
13 Aug 2017
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?
Lin Chen
Moran Feldman
Amin Karbasi
85
47
0
13 Jul 2017
Evaluating Social Networks Using Task-Focused Network Inference
Ivan Brugere
Chris Kanich
T. Berger-Wolf
28
5
0
08 Jul 2017
Learning Network Structures from Contagion
Adisak Supeesun
Jittat Fakcharoenphol
GNN
21
3
0
29 May 2017
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
172
1,483
0
05 Apr 2017
Greed is Good: Near-Optimal Submodular Maximization via Greedy Optimization
Moran Feldman
Christopher Harshaw
Amin Karbasi
74
92
0
05 Apr 2017
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
Shuai Xiao
Junchi Yan
Mehrdad Farajtabar
Le Song
Xiaokang Yang
H. Zha
AI4TS
83
44
0
24 Mar 2017
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