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Andrei Bursuc | Tristan Cazenave | Jeremy Frank | J. Benton | Eric Jacopin | Christophe Guettier | Kevin Osanlou
[1] Brian C. Williams,et al. Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty , 2019, Artif. Intell..
[2] Jie Chen,et al. Adaptive Planner Scheduling with Graph Neural Networks , 2018, ArXiv.
[3] Andrea Lodi,et al. Exact Combinatorial Optimization with Graph Convolutional Neural Networks , 2019, NeurIPS.
[4] Marco Roveri,et al. Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies , 2016, AAAI.
[5] Roberto Proietti,et al. Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks , 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).
[6] Ioannis Tsamardinos,et al. A Probabilistic Approach to Robust Execution of Temporal Plans with Uncertainty , 2002, SETN.
[7] Thierry Vidal,et al. Handling contingency in temporal constraint networks: from consistency to controllabilities , 1999, J. Exp. Theor. Artif. Intell..
[8] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[9] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[10] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[11] Max Welling,et al. Attention Solves Your TSP , 2018, ArXiv.
[12] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[13] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[14] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[15] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[16] Razvan Pascanu,et al. Interaction Networks for Learning about Objects, Relations and Physics , 2016, NIPS.
[17] Chi Harold Liu,et al. Experience-driven Networking: A Deep Reinforcement Learning based Approach , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.
[18] Nicola Muscettola,et al. Temporal Dynamic Controllability Revisited , 2005, AAAI.
[19] Paul Morris,et al. Dynamic Controllability and Dispatchability Relationships , 2014, CPAIOR.
[20] Zhuwen Li,et al. Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search , 2018, NeurIPS.
[21] Tristan Cazenave,et al. Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[22] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Shirin Sohrabi,et al. Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection , 2019, AAAI.
[24] Albert Cabellos-Aparicio,et al. Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN , 2019, SOSR.
[25] Philip S. Yu,et al. A Comprehensive Survey on Graph Neural Networks , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[26] R. Zemel,et al. Neural Relational Inference for Interacting Systems , 2018, ICML.