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2109.12636
Cited By
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
26 September 2021
Cenk Tüysüz
C. Rieger
Kristiane Novotny
B. Demirköz
D. Dobos
K. Potamianos
S. Vallecorsa
J. Vlimant
Richard Forster
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Papers citing
"Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction"
16 / 16 papers shown
Title
Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
Seon-Geun Jeong
Kyeong-Hwan Moon
Won-Joo Hwang
24
1
0
14 Sep 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks
Arthur M. Faria
Ignacio F. Graña
Savvas Varsamopoulos
GNN
197
1
0
31 Mar 2025
Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
Anthony M. Smaldone
Yu Shee
Gregory W. Kyro
Chuzhi Xu
Nam P. Vu
...
Marwa H. Farag
Alexey Galda
Sandeep Kumar
Elica Kyoseva
Victor S. Batista
Mamba
67
10
0
24 Sep 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Andrea Ceschini
Francesco Mauro
Francesca De Falco
A. Sebastianelli
A. Verdone
A. Rosato
Bertrand Le Saux
Massimo Panella
Paolo Gamba
Silvia Liberata Ullo
GNN
AI4CE
131
4
0
12 Aug 2024
Graph Neural Networks on Quantum Computers
Yidong Liao
Xiao-Ming Zhang
Chris Ferrie
GNN
111
6
0
27 May 2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
Changwon Lee
Israel F. Araujo
Dongha Kim
Junghan Lee
Siheon Park
Ju-Young Ryu
Daniel K. Park
122
3
0
28 Mar 2024
A unifying primary framework for quantum graph neural networks from quantum graph states
Ammar Daskin
GNN
163
2
0
20 Feb 2024
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
S. Thais
D. Murnane
AI4CE
103
6
0
06 Nov 2023
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
L. Domingo
M. Chehimi
S. Banerjee
S. H. Yuxun
S. Konakanchi
L. Ogunfowora
S. Roy
S. Selvaras
M. Djukic
C. Johnson
AI4CE
113
9
0
06 Sep 2023
Financial Fraud Detection using Quantum Graph Neural Networks
Nouhaila Innan
Abhishek Sawaika
Ashim Dhor
Siddhant Dutta
Sairupa Thota
Husayn Gokal
Nandan Patel
Muhammad Al-Zafar Khan
Ioannis Theodonis
Muhammad Shafique
GNN
92
66
0
03 Sep 2023
Quantum Graph Learning: Frontiers and Outlook
Shuo Yu
Ciyuan Peng
Yingbo Wang
Ahsan Shehzad
Xiwei Xu
Edwin R. Hancock
AI4CE
105
7
0
02 Feb 2023
Quantum anomaly detection in the latent space of proton collision events at the LHC
Kinga Anna Wo'zniak
Vasilis Belis
E. Puljak
Panagiotis Kl Barkoutsos
Günther Dissertori
Michele Grossi
M. Pierini
F. Reiter
I. Tavernelli
S. Vallecorsa
99
45
0
25 Jan 2023
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz
M. Spannowsky
169
14
0
21 Feb 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey
Yehui Tang
Junchi Yan
Hancock Edwin
GNN
122
10
0
19 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Xing Ai
Zhihong Zhang
Luzhe Sun
Junchi Yan
Edwin R. Hancock
GNN
175
12
0
13 Jan 2022
The Tracking Machine Learning challenge : Throughput phase
S. Amrouche
L. Basara
P. Calafiura
D. Emeliyanov
Victor Estrade
...
E. Moyse
Mathis Reymond
A. Salzburger
Andrey Ustyuzhanin
J. Vlimant
294
35
0
03 May 2021
1