Hybrid Quantum-Classical Graph Convolutional Network

15 January 2021

Papers citing "Hybrid Quantum-Classical Graph Convolutional Network"

36 / 36 papers shown

Title
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo 94 116 0 22 Dec 2020
Quantum reinforcement learning in continuous action space Shaojun Wu Shan Jin Dingding Wen Donghong Han Xiaoting Wang LRM 84 44 0 19 Dec 2020
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 129 2,546 0 16 Dec 2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 100 49 0 30 Nov 2020
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 124 765 0 30 Oct 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Pin-Yu Chen Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee FedML 103 128 0 26 Oct 2020
Quantum Long Short-Term Memory Samuel Yen-Chi Chen Shinjae Yoo Yao-Lung L. Fang 76 166 0 03 Sep 2020
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 65 139 0 15 Aug 2020
Recurrent Quantum Neural Networks Johannes Bausch 68 155 0 25 Jun 2020
Classification with Quantum Machine Learning: A Survey Z. Abohashima M. Elhoseny E. H. Houssein W. M. Mohamed 64 76 0 22 Jun 2020
Quantum-inspired Machine Learning on high-energy physics data Timo Felser Marco Trenti L. Sestini A. Gianelle D. Zuliani D. Lucchesi S. Montangero AI4CE 41 55 0 28 Apr 2020
Transfer learning in hybrid classical-quantum neural networks A. Mari T. Bromley J. Izaac Maria Schuld N. Killoran 74 289 0 17 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 571 42,677 0 03 Dec 2019
Variational Quantum Circuits for Deep Reinforcement Learning Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 97 311 0 30 Jun 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 112 901 0 18 Jun 2019
Variational Quantum Circuit Model for Knowledge Graphs Embedding Yunpu Ma Volker Tresp Liming Zhao Yuyi Wang 70 21 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 807 8,597 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,551 0 20 Dec 2018
The Expressive Power of Parameterized Quantum Circuits Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 77 93 0 29 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 322 2,157 0 22 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 301 905 0 07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 272 3,555 0 06 Jun 2018
Quantum generative adversarial networks Pierre-Luc Dallaire-Demers N. Killoran GAN AI4CE 50 362 0 23 Apr 2018
Semi-supervised User Geolocation via Graph Convolutional Networks Afshin Rahimi Trevor Cohn Timothy Baldwin GNN SSL 100 158 0 22 Apr 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 186 361 0 02 Mar 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 144 751 0 20 Feb 2018
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 129 1,262 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 521 15,369 0 07 Jun 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 548 1,412 0 01 Dec 2016
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 213 6,206 0 15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 686 29,183 0 09 Sep 2016
A Convolutional Neural Network Neutrino Event Classifier A. Aurisano A. Radovic D. Rocco A. Himmel M. Messier E. Niner G. Pawloski F. Psihas A. Sousa P. Vahle BDL 58 207 0 05 Apr 2016
Parameterized Machine Learning for High-Energy Physics Pierre Baldi Kyle Cranmer Taylor Faucett Peter Sadowski D. Whiteson AI4CE PINN 90 242 0 28 Jan 2016
Jet-Images -- Deep Learning Edition Luke de Oliveira Michael Kagan Lester W. Mackey Benjamin Nachman A. Schwartzman PINN 74 311 0 16 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 235 3,356 0 30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 159 1,587 0 16 Jun 2015