Quantum Graph Neural Networks

26 September 2019

Guillaume Verdon

Trevor McCourt

Papers citing "Quantum Graph Neural Networks"

28 / 28 papers shown

Title
Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks Erik L. Connerty Ethan N. Evans Gerasimos Angelatos Vignesh Narayanan 16 0 0 11 May 2025
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems Ibne Farabi Shihab Sanjeda Akter Anuj Sharma 34 0 0 06 May 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 55 1 0 26 Jun 2024
Hybrid Quantum Graph Neural Network for Molecular Property Prediction Michael Vitz Hamed Mohammadbagherpoor Samarth Sandeep Andrew Vlasic Richard Padbury Anh Pham AI4CE 23 1 0 08 May 2024
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks Roy T. Forestano Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu GNN 24 8 0 30 Nov 2023
Quantum Graph Learning: Frontiers and Outlook Shuo Yu Ciyuan Peng Yingbo Wang Ahsan Shehzad Feng Xia Edwin R. Hancock AI4CE 21 5 0 02 Feb 2023
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating I. Nikoloska Osvaldo Simeone L. Banchi Petar Velickovic GNN 28 3 0 19 Jan 2023
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu (Allen) Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 30 2 0 09 Nov 2022
Extending Graph Transformers with Quantum Computed Aggregation Slimane Thabet Romain Fouilland L. Henriet GNN 25 3 0 19 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 27 84 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 26 73 0 14 Oct 2022
quEEGNet: Quantum AI for Biosignal Processing T. Koike-Akino Ye Wang 27 4 0 29 Sep 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 24 80 0 07 Jun 2022
Quantum Transfer Learning for Wi-Fi Sensing T. Koike-Akino P. Wang Ye Wang 22 17 0 17 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 26 68 0 12 May 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 16 117 0 04 May 2022
An Empirical Review of Optimization Techniques for Quantum Variational Circuits Owen Lockwood 18 16 0 03 Feb 2022
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization I. Nikoloska Osvaldo Simeone 17 10 0 21 Jan 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 36 8 0 10 Dec 2021
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms Anbang Wu Gushu Li Yuke Wang Boyuan Feng Yufei Ding Yuan Xie 9 9 0 26 Nov 2021
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 30 48 0 04 Nov 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 23 32 0 06 Jul 2021
Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage Aida Ahmadzadegan Petar Simidzija Ming Li A. Kempf 6 8 0 08 Jun 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016