Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
暂无分享,去创建一个
Shie Mannor | Eli A. Meirom | Gal Chechik | Haggai Maron | Shie Mannor | Gal Chechik | E. Meirom | Haggai Maron
[1] Shivani Agarwal,et al. Ranking on graph data , 2006, ICML.
[2] Laks V. S. Lakshmanan,et al. Model-Independent Online Learning for Influence Maximization , 2017, ICML.
[3] John S. Brownstein,et al. Disease Surveillance on Complex Social Networks , 2016, PLoS Comput. Biol..
[4] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[5] Jie Chen,et al. EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs , 2020, AAAI.
[6] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[7] Davide Eynard,et al. Temporal Graph Networks for Deep Learning on Dynamic Graphs , 2020, ArXiv.
[8] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[9] Matthew Richardson,et al. Mining the network value of customers , 2001, KDD '01.
[10] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[11] Hassan Haghighi,et al. INCIM: A community-based algorithm for influence maximization problem under the linear threshold model , 2016, Inf. Process. Manag..
[12] Aravind Srinivasan,et al. Modelling disease outbreaks in realistic urban social networks , 2004, Nature.
[13] Charles A. Sutton,et al. GEMSEC: Graph Embedding with Self Clustering , 2018, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[14] Tsuyoshi Murata,et al. Extended methods for influence maximization in dynamic networks , 2018, Computational Social Networks.
[15] Victor M. Preciado,et al. Optimal Containment of Epidemics in Temporal and Adaptive Networks , 2016, ArXiv.
[16] Chinwendu Enyioha,et al. Optimal Resource Allocation for Network Protection Against Spreading Processes , 2013, IEEE Transactions on Control of Network Systems.
[17] Jordan B. Pollack,et al. Recursive Distributed Representations , 1990, Artif. Intell..
[18] Alessandro Sperduti,et al. Supervised neural networks for the classification of structures , 1997, IEEE Trans. Neural Networks.
[19] Niema Moshiri. The dual-Barabási-Albert model , 2018 .
[20] Hao Zhang,et al. Reinforcement Learning for Flexibility Design Problems , 2021, ArXiv.
[21] Reynold Cheng,et al. Online Influence Maximization , 2015, KDD.
[22] Constantine Caramanis,et al. Quarantines as a Targeted Immunization Strategy , 2020, ArXiv.
[23] Dong Liu,et al. A Fast and Efficient Algorithm for Mining Top-k Nodes in Complex Networks , 2017, Scientific Reports.
[24] Anil Vullikanti,et al. Designing Effective and Practical Interventions to Contain Epidemics , 2020, AAMAS.
[25] Pascal Poupart,et al. Representation Learning for Dynamic Graphs: A Survey , 2020, J. Mach. Learn. Res..
[26] Wei Chen,et al. Efficient influence maximization in social networks , 2009, KDD.
[27] Liwei Wang,et al. Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization , 2020, Data Science and Engineering.
[28] Yada Zhu,et al. Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk , 2020, AAAI.
[29] International Foundation for Autonomous Agents and MultiAgent Systems ( IFAAMAS ) , 2007 .
[30] Marcel Salathé,et al. Dynamics and Control of Diseases in Networks with Community Structure , 2010, PLoS Comput. Biol..
[31] Tsuyoshi Murata,et al. Learning Adaptive Graph Protection Strategy on Dynamic Networks via Reinforcement Learning , 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).
[32] Éva Tardos,et al. Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..
[33] Jingrui He,et al. Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks , 2019, CIKM.
[34] Alessandro Sperduti,et al. Encoding Labeled Graphs by Labeling RAAM , 1993, NIPS.
[35] Emmanuel Abbe,et al. Community detection and stochastic block models: recent developments , 2017, Found. Trends Commun. Inf. Theory.
[36] J. Medlock,et al. Optimizing Influenza Vaccine Distribution , 2009, Science.
[37] Mark Newman,et al. Networks: An Introduction , 2010 .
[38] Rosalind M Eggo,et al. Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network , 2015, Journal of medical Internet research.
[39] Tzu-Yuan Chung. Deep Reinforcement Learning-based Approach to Tackle Competitive Influence Maximization , 2019 .
[40] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[41] Kimon Fountoulakis,et al. Targeted pandemic containment through identifying local contact network bottlenecks , 2020, PLoS Comput. Biol..
[42] Yuchen Li,et al. Influence Maximization on Social Graphs: A Survey , 2018, IEEE Transactions on Knowledge and Data Engineering.
[43] Tiejun Huang,et al. Graph Convolutional Reinforcement Learning , 2020, ICLR.
[44] My T. Thai,et al. Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks , 2016, SIGMOD Conference.
[45] Suh-Yin Lee,et al. CIM: Community-Based Influence Maximization in Social Networks , 2014, TIST.
[46] Joel C. Miller,et al. Effective vaccination strategies for realistic social networks , 2007 .
[47] Shou-De Lin,et al. A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks , 2015, KDD.
[48] Zhitang Chen,et al. Causal Discovery with Reinforcement Learning , 2019, ICLR.
[49] Yang Yu,et al. Reinforced Epidemic Control: Saving Both Lives and Economy , 2020, ArXiv.
[50] Alessandro Sperduti,et al. Labelling Recursive Auto-associative Memory , 1994, Connect. Sci..
[51] Christoph Goller,et al. Inductive Learning in Symbolic Domains Using Structure-Driven Recurrent Neural Networks , 1996, KI.
[52] Laks V. S. Lakshmanan,et al. CELF++: optimizing the greedy algorithm for influence maximization in social networks , 2011, WWW.
[53] Sudip Saha,et al. Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread , 2015, SDM.
[54] Le Song,et al. Learning Combinatorial Optimization Algorithms over Graphs , 2017, NIPS.
[55] Tamer Basar,et al. Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents , 2018, ICML.
[56] Chris T. Bauch,et al. Policy Resistance Undermines Superspreader Vaccination Strategies for Influenza , 2013, PLoS Comput. Biol..
[57] Shie Mannor,et al. Detecting Cascades from Weak Signatures , 2018, IEEE Transactions on Network Science and Engineering.
[58] Csaba Szepesvári,et al. Escaping the Gravitational Pull of Softmax , 2020, NeurIPS.
[59] Eli A. Meirom,et al. From Local Structures to Size Generalization in Graph Neural Networks , 2020, ICML.
[60] Shie Mannor,et al. The Stochastic Firefighter Problem , 2017, ArXiv.
[61] Reuven Cohen,et al. Efficient immunization strategies for computer networks and populations. , 2002, Physical review letters.
[62] Ryan A. Rossi,et al. The Network Data Repository with Interactive Graph Analytics and Visualization , 2015, AAAI.
[63] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[64] Keith W. Ross,et al. Efficient Entropy for Policy Gradient with Multidimensional Action Space , 2018, ICLR.
[65] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[66] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[67] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[68] Shie Mannor,et al. Localized Epidemic Detection in Networks with Overwhelming Noise , 2014, SIGMETRICS.
[69] Long D. Nguyen,et al. Risk-Aware Identification of Highly Suspected COVID-19 Cases in Social IoT: A Joint Graph Theory and Reinforcement Learning Approach , 2020, IEEE Access.
[70] Jan Eric Lenssen,et al. Fast Graph Representation Learning with PyTorch Geometric , 2019, ArXiv.
[71] James P. Callan,et al. Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding , 2017, WWW.
[72] Dilip Kumar Pratihar,et al. A survey on influence maximization in a social network , 2018, Knowledge and Information Systems.
[73] Gary MacGillivray,et al. AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 43 (2009), Pages 57–77 The Firefighter Problem: A survey of results, directions and questions , 2022 .
[74] X. Rodó,et al. A modified SEIR model to predict the COVID-19 outbreak in Spain and Italy: Simulating control scenarios and multi-scale epidemics , 2020, Results in Physics.