From Quantum Graph Computing to Quantum Graph Learning: A Survey

19 February 2022

Papers citing "From Quantum Graph Computing to Quantum Graph Learning: A Survey"

21 / 21 papers shown

Title
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 83 11 0 13 Jan 2022
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 68 9 0 10 Dec 2021
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction Cenk Tüysüz C. Rieger Kristiane Novotny B. Demirköz D. Dobos K. Potamianos S. Vallecorsa J. Vlimant Richard Forster 144 55 0 26 Sep 2021
A quantum algorithm for training wide and deep classical neural networks Alexander Zlokapa Hartmut Neven S. Lloyd 49 14 0 19 Jul 2021
A Review of Machine Learning Classification Using Quantum Annealing for Real-world Applications R. K. Nath Himanshu Thapliyal Travis S. Humble AI4CE 112 33 0 05 Jun 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 153 372 0 26 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo GNN 65 36 0 15 Jan 2021
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 114 655 0 03 Nov 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 109 546 0 05 Oct 2020
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen Laurent Jacob Julien Mairal GNN 86 55 0 11 Mar 2020
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 64 24 0 06 Oct 2019
Quantum Graph Neural Networks Guillaume Verdon Trevor McCourt Enxhell Luzhnica Vikas Singh Stefan Leichenauer Jack Hidary GNN 63 106 0 26 Sep 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 805 8,597 0 03 Jan 2019
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J. Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang 90 919 0 09 Oct 2017
$Machine learning \& artificial intelligence in the quantum domain$ Machine learning \& artificial intelligence in the quantum domain Vedran Dunjko Hans J. Briegel 58 347 0 08 Sep 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 139 1,731 0 08 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,500 0 04 Apr 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 196 10,924 0 03 Jul 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 347 3,291 0 17 Nov 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 267 9,816 0 26 Mar 2014
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 138 3,988 0 31 Oct 2012