v1v2v3 (latest)

Inferring Networks of Diffusion and Influence

1 June 2010

Manuel Gomez Rodriguez

J. Leskovec

Andreas Krause

ArXiv (abs)PDF HTML

Papers citing "Inferring Networks of Diffusion and Influence"

50 / 121 papers shown

Title
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control Sepehr Elahi Paula Mürmann Patrick Thiran 66 0 0 18 Jun 2025
Learning Set Functions with Implicit DifferentiationAAAI Conference on Artificial Intelligence (AAAI), 2024 Gözde Özcan Chengzhi Shi Stratis Ioannidis 276 0 0 15 Dec 2024
Predicting Cascading Failures with a Hyperparametric Diffusion Model Bin Xiang Bogdan Cautis Xiaokui Xiao Olga Mula Dusit Niyato L. Lakshmanan 177 0 0 12 Jun 2024
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference Zahra Fatemi Jean Pouget-Abadie Elena Zheleva CML 221 0 0 20 May 2024
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks Zirou Qiu Abhijin Adiga Madhav V. Marathe S. S. Ravi D. Rosenkrantz R. Stearns Anil Vullikanti 217 1 0 11 May 2024
Finding Super-spreaders in Network Cascades Elchanan Mossel Anirudh Sridhar 231 1 0 05 Mar 2024
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation Keke Huang Ruize Gao Bogdan Cautis Xiaokui Xiao 185 8 0 05 Mar 2024
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting Serina Chang Frederic Koehler Zhaonan Qu J. Leskovec Johan Ugander 216 3 0 28 Feb 2024
Learning the Topology and Behavior of Discrete Dynamical Systems Zirou Qiu Abhijin Adiga Madhav V. Marathe S. S. Ravi D. Rosenkrantz R. Stearns Anil Vullikanti 203 2 0 18 Feb 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 124 1 0 18 Nov 2023
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure PropertyScientific Reports (Sci Rep), 2023 Maryam Ramezani Aryan Ahadinia Erfan Farhadi Hamid R. Rabiee 104 3 0 02 Oct 2023
Reconstructing Graph Diffusion History from a Single SnapshotKnowledge Discovery and Data Mining (KDD), 2023 Ruizhong Qiu Dingsu Wang Lei Ying H. Vincent Poor Yifang Zhang Hanghang Tong DiffM 424 13 0 01 Jun 2023
PDViz: a Visual Analytics Approach for State Policy Data Dongyun Han A. Nayeem Jason Windett Isaac Cho 83 4 0 08 Apr 2023
Inferring networks from time series: a neural approachPNAS Nexus (PNAS Nexus), 2023 Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 226 10 0 30 Mar 2023
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures Yu Wang Jin-Zhu Yu H. Baroud 121 2 0 28 Nov 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version)Industrial Conference on Data Mining (IDM), 2022 Yuting Feng Bogdan Cautis GNN AI4TS 116 3 0 04 Oct 2022
Inference and Optimization for Engineering and Physical Systems M. Krechetov 129 0 0 29 Aug 2022
Learning to Infer Structures of Network GamesInternational Conference on Machine Learning (ICML), 2022 Emanuele Rossi Federico Monti Yan Leng Michael M. Bronstein Xiaowen Dong 182 9 0 16 Jun 2022
Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On RedditInternational Conference on Web and Social Media (ICWSM), 2022 Hans W. A. Hanley Deepak Kumar Zakir Durumeric 159 58 0 28 May 2022
Graph Representation Learning for Popularity Prediction Problem: A Survey Tiantian Chen Jianxiong Guo Wei-Ping Wu GNN 100 5 0 15 Mar 2022
Optimal Data Selection: An Online Distributed View Mariel A. Werner Anastasios Nikolas Angelopoulos Stephen Bates Michael I. Jordan 194 1 0 25 Jan 2022
Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)SDM (SDM), 2022 A. Iacob Bogdan Cautis Silviu Maniu 110 3 0 13 Jan 2022
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture ModelsJournal of the American Statistical Association (JASA), 2022 Yixin Wang Anthony Degleris Alex H. Williams Scott W. Linderman 269 7 0 13 Jan 2022
Execution Order Matters in Greedy Algorithms with Limited InformationAmerican Control Conference (ACC), 2021 Rohit Konda David Grimsman Jason R. Marden 232 11 0 02 Nov 2021
Latent Network Embedding via Adversarial Auto-encoders Minglong Lei Yong Shi Lingfeng Niu GNN 80 0 0 30 Sep 2021
Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback Zhijie Zhang Wei Chen Xiaoming Sun Jialin Zhang 219 1 0 13 Sep 2021
Network Inference and Influence Maximization from SamplesInternational Conference on Machine Learning (ICML), 2021 Zhijie Zhang Wei Chen Xiaoming Sun Jialin Zhang 147 17 0 07 Jun 2021
Influence Estimation and Maximization via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 119 0 0 03 Jun 2021
The Power of Subsampling in Submodular MaximizationMathematics of Operations Research (MOR), 2021 Christopher Harshaw Ehsan Kazemi Moran Feldman Amin Karbasi 223 8 0 06 Apr 2021
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective OptimizationIEEE Transactions on Evolutionary Computation (TEVC), 2021 Weiyu Chen H. Ishibuchi Ke Shang 109 43 0 01 Feb 2021
On the Consistency of Maximum Likelihood Estimators for Causal Network IdentificationIEEE Conference on Decision and Control (CDC), 2020 Xiaotian Xie Dimitrios Katselis Carolyn L. Beck R. Srikant CML 149 4 0 17 Oct 2020
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix FactorizationACM Transactions on Knowledge Discovery from Data (TKDD), 2020 Maryam Ramezani Aryan Ahadinia Amirmohammad Ziaei Bideh Hamid R. Rabiee 244 11 0 03 Oct 2020
Network Inference from a Mixture of Diffusion Models for Fake News MitigationInternational Conference on Web and Social Media (ICWSM), 2020 Karishma Sharma Xinran He Sungyong Seo Yan Liu 159 16 0 08 Aug 2020
Graph signal processing for machine learning: A review and new perspectivesIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020 Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 242 196 0 31 Jul 2020
Prediction-Centric Learning of Independent Cascade Dynamics from Partial ObservationsInternational Conference on Machine Learning (ICML), 2020 M. Wilinski A. Lokhov 216 10 0 13 Jul 2020
Network Diffusions via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 230 8 0 16 Jun 2020
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction Chunyuan Yuan Jiacheng Li Wei Zhou Yijun Lu Xiaodan Zhang Songlin Hu DiffM 163 88 0 09 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 204 26 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 163 63 0 08 May 2020
The Impact of Message Passing in Agent-Based Submodular MaximizationIEEE Transactions on Control of Network Systems (TCNS), 2020 David Grimsman Matthew R. Kirchner J. Hespanha Jason R. Marden 194 1 0 07 Apr 2020
Distributed Submodular Maximization with Parallel ExecutionAmerican Control Conference (ACC), 2020 Haoyuan Sun David Grimsman Jason R. Marden 175 9 0 09 Mar 2020
Deep Fourier Kernel for Self-Attentive Point Processes Shixiang Zhu Minghe Zhang Ruyi Ding Yao Xie 3DPC 226 3 0 17 Feb 2020
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization Carl Yang Mengxiong Liu Frank S. He Jian Peng Jiawei Han 88 0 0 18 Jan 2020
Deep Collaborative Embedding for information cascade predictionKnowledge-Based Systems (KBS), 2020 Yuhui Zhao Ning Yang Tao Lin Philip S. Yu GNN 68 16 0 18 Jan 2020
Inferring Individual Level Causal Models from Graph-based Relational Time Series Ryan Rossi Somdeb Sarkhel Nesreen Ahmed CML 155 0 0 16 Jan 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Zhaozhi Qian Ahmed Alaa Alexis Bellot J. Rashbass M. Schaar DiffM MedIm 242 19 0 08 Jan 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion PredictionWeb Search and Data Mining (WSDM), 2020 Aravind Sankar Xinyang Zhang A. Krishnan Jiawei Han GNN 177 97 0 01 Jan 2020
Learning Latent Process from High-Dimensional Event Sequences via Efficient SamplingNeural Information Processing Systems (NeurIPS), 2019 Qitian Wu Zixuan Zhang Xiaofeng Gao Junchi Yan Guihai Chen GAN 123 9 0 28 Oct 2019
Online Non-Monotone DR-submodular MaximizationAAAI Conference on Artificial Intelligence (AAAI), 2019 Nguyen Kim Thang Abhinav Srivastav 116 14 0 25 Sep 2019
Sample Complexity Bounds for Influence MaximizationInformation Technology Convergence and Services (ITCS), 2019 Gal Sadeh E. Cohen Haim Kaplan 232 13 0 31 Jul 2019