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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"

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Title
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control Sepehr Elahi Paula Mürmann Patrick Thiran 10 0 0 18 Jun 2025
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks Zirou Qiu Abhijin Adiga Madhav Marathe S. S. Ravi D. Rosenkrantz R. Stearns Anil Vullikanti 73 1 0 11 May 2024
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 1 0 18 Nov 2023
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property Maryam Ramezani Aryan Ahadinia Erfan Farhadi Hamid R. Rabiee 29 1 0 02 Oct 2023
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures Yu Wang Jin-Zhu Yu H. Baroud 41 1 0 28 Nov 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version) Yuting Feng Bogdan Cautis GNN AI4TS 76 3 0 04 Oct 2022
Learning to Infer Structures of Network Games Emanuele Rossi Federico Monti Yan Leng Michael M. Bronstein Xiaowen Dong 92 9 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 7 0 06 Apr 2021
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization Weiyu Chen H. Ishibuchi Ke Shang 45 28 0 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 4 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 94 169 0 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 0 0 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 0 31 Jul 2019
Graph Neural Lasso for Dynamic Network Regression Yixin Chen Lin Meng Jiawei Zhang AI4TS 51 5 0 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 7 0 23 May 2019
Reconstruction of C&C Channel for P2P Botnet Mohammad Jafari Dehkordi B. Sadeghiyan 26 3 0 10 Apr 2019
Network reconstruction and community detection from dynamics Tiago P. Peixoto 84 117 0 26 Mar 2019
Adaptive Sequence Submodularity Marko Mitrovic Ehsan Kazemi Moran Feldman Andreas Krause Amin Karbasi 62 27 0 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 0 0 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 GNN 81 173 0 28 Nov 2017
Estimation of a Low-rank Topic-Based Model for Information Cascades Ming Yu Varun Gupta Mladen Kolar 84 7 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