Learnable quantum spectral filters for hybrid graph neural networks | Paper Citation Record

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This paper cites Submission category by year, 2025.

Learnable quantum spectral filters for hybrid graph neural networks Submission category by year, 2025

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This paper cites GPT-4 Technical Report.

Learnable quantum spectral filters for hybrid graph neural networks GPT-4 Technical Report

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Learnable quantum spectral filters for hybrid graph neural networks DeepSeek-V3 Technical Report

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Learnable quantum spectral filters for hybrid graph neural networks A Comprehensive Overview of Large Language Models

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Learnable quantum spectral filters for hybrid graph neural networks Welcome to the era of chatgpt et al

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Learnable quantum spectral filters for hybrid graph neural networks A survey of sustainability in large language models: Applications, economics, and challenges

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Learnable quantum spectral filters for hybrid graph neural networks Randomized algorithms.ACM Computing Surveys (CSUR), 28(1):33–37, 1996

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Learnable quantum spectral filters for hybrid graph neural networks Randomized algorithms for matrices and data.Foundations and Trends® in Machine Learning, 3(2):123–224, 2011

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Learnable quantum spectral filters for hybrid graph neural networks A survey of randomized algorithms for training neural networks.Information Sciences, 364:146–155, 2016

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This paper cites Springer, 2001.

Learnable quantum spectral filters for hybrid graph neural networks Springer, 2001

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Learnable quantum spectral filters for hybrid graph neural networks Cambridge university press, 2011

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Learnable quantum spectral filters for hybrid graph neural networks Which problems have strongly exponential complexity?Journal of Computer and System Sciences, 63(4):512–530, 2001

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Learnable quantum spectral filters for hybrid graph neural networks Computer architecture and amdahl’s law.Computer, 46(12):38–46, 2013

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Learnable quantum spectral filters for hybrid graph neural networks Amdahl’s law in the multicore era.Computer, 41(7):33–38, 2008

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Learnable quantum spectral filters for hybrid graph neural networks Qwen3 Technical Report

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This paper cites Num- ber 47.

Learnable quantum spectral filters for hybrid graph neural networks Num- ber 47

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Learnable quantum spectral filters for hybrid graph neural networks Expressive power of parametrized quantum circuits.Physical Review Research, 2(3):033125, 2020

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Learnable quantum spectral filters for hybrid graph neural networks Expressivity of quantum neural networks.Physical Review Research, 3(3):L032049, 2021

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Learnable quantum spectral filters for hybrid graph neural networks The power of quantum neural networks.Nature Computational Science, 1(6):403–409, 2021

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Learnable quantum spectral filters for hybrid graph neural networks High-expressibility quantum neural networks using only classical resources

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Learnable quantum spectral filters for hybrid graph neural networks A new model for learning in graph domains

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Learnable quantum spectral filters for hybrid graph neural networks Graph neural networks for ranking web pages

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Learnable quantum spectral filters for hybrid graph neural networks The graph neural network model.IEEE Transactions on Neural Networks, 20(1):61–80, 2009

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Learnable quantum spectral filters for hybrid graph neural networks Learning skillful medium- range global weather forecasting.Science, 382(6677):1416–1421, 2023

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Learnable quantum spectral filters for hybrid graph neural networks A gentle intro- duction to graph neural networks.Distill, 6(9):e33, 2021

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Learnable quantum spectral filters for hybrid graph neural networks Graph neural networks: A review of methods and applications.AI open, 1:57–81, 2020

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Learnable quantum spectral filters for hybrid graph neural networks Graph neural networks: Taxonomy, advances, and trends.ACM Transactions on Intelligent Systems and Technology (TIST), 13(1):1–54, 2022

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Learnable quantum spectral filters for hybrid graph neural networks Semi-Supervised Classification with Graph Convolutional Networks

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Learnable quantum spectral filters for hybrid graph neural networks Inductive representation learning on large graphs

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Learnable quantum spectral filters for hybrid graph neural networks Graph attention networks.stat, 1050(20):10–48550, 2017

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Learnable quantum spectral filters for hybrid graph neural networks Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 2002

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Learnable quantum spectral filters for hybrid graph neural networks Deep learning.nature, 521(7553):436–444, 2015

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Learnable quantum spectral filters for hybrid graph neural networks Convolutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016

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Learnable quantum spectral filters for hybrid graph neural networks Spectral Networks and Locally Connected Networks on Graphs

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Learnable quantum spectral filters for hybrid graph neural networks Understanding convolutions on graphs.Distill, 6(9):e32, 2021

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Learnable quantum spectral filters for hybrid graph neural networks Simplifying graph convolutional networks

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Learnable quantum spectral filters for hybrid graph neural networks Graph signal processing for machine learning: A review and new perspectives.IEEE Signal processing magazine, 37(6):117–127, 2020

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Learnable quantum spectral filters for hybrid graph neural networks Understanding Spectral Graph Neural Network

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Learnable quantum spectral filters for hybrid graph neural networks Graphs, convolutions, and neural networks: From graph filters to graph neural networks.IEEE Signal Processing Magazine, 37(6):128– 138, 2020

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Learnable quantum spectral filters for hybrid graph neural networks A Survey on Spectral Graph Neural Networks

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Learnable quantum spectral filters for hybrid graph neural networks Taylornet: A novel approach for spectral filter learning on graph data.Neurocomputing, 605:128358, 2024

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Learnable quantum spectral filters for hybrid graph neural networks Universal quantum circuit for n-qubit quantum gate: A programmable quantum gate

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Learnable quantum spectral filters for hybrid graph neural networks Universal programmable quantum circuit schemes to emulate an operator.The Journal of chemical physics, 137(23), 2012

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Learnable quantum spectral filters for hybrid graph neural networks A universal quantum circuit scheme for finding complex eigenvalues.Quantum information processing, 13:333–353, 2014

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Learnable quantum spectral filters for hybrid graph neural networks Parameterized quantum circuits as machine learning models.Quantum science and technology, 4(4):043001, 2019

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Learnable quantum spectral filters for hybrid graph neural networks A variational eigenvalue solver on a photonic quantum processor

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Learnable quantum spectral filters for hybrid graph neural networks Quantum Algorithms for Fixed Qubit Architectures

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Learnable quantum spectral filters for hybrid graph neural networks Natural parametrized quantum circuit.Physical Review A, 106(5):052611, 2022

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Learnable quantum spectral filters for hybrid graph neural networks From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks

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Learnable quantum spectral filters for hybrid graph neural networks Quantum Graph Learning: Frontiers and Outlook

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Learnable quantum spectral filters for hybrid graph neural networks How can we naturally order and organize graph laplacian eigenvectors? In2018 IEEE Statistical Signal Processing Workshop (SSP), pages 483–487

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Learnable quantum spectral filters for hybrid graph neural networks The discrete cosine transform.SIAM review, 41(1):135–147, 1999

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Learnable quantum spectral filters for hybrid graph neural networks Quantum Simulations Based on Parameterized Circuit of an Antisymmetric Matrix

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Learnable quantum spectral filters for hybrid graph neural networks American Mathematical Soc., 1997

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Learnable quantum spectral filters for hybrid graph neural networks Laplacian matrices of graphs: a survey.Linear algebra and its applications, 197:143–176, 1994

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Learnable quantum spectral filters for hybrid graph neural networks Algorithms, graph theory, and linear equations in laplacian matrices

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Learnable quantum spectral filters for hybrid graph neural networks A tutorial on spectral clustering.Statistics and computing, 17:395–416, 2007

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Observation f23b0351-2079-4102-81cf-c4415d279f7e · outbound

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Learnable quantum spectral filters for hybrid graph neural networks Quantum spectral clustering through a biased phase estimation algorithm.TWMS Journal of Applied and Engineering Mathematics, 10(1):24–33, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:19.085085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66d2905c-7d27-4c17-b05a-eafd9e1c21b7 · outbound

This paper cites Convergence of laplacian eigenmaps.Advances in neural information processing systems, 19, 2006.

Learnable quantum spectral filters for hybrid graph neural networks Convergence of laplacian eigenmaps.Advances in neural information processing systems, 19, 2006

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:18.819116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3382ba6-d272-474b-acd8-9eb7d9d44281 · outbound

This paper cites Manifold learning: What, how, and why.Annual Review of Statistics and Its Application, 11(1):393–417, 2024.

Learnable quantum spectral filters for hybrid graph neural networks Manifold learning: What, how, and why.Annual Review of Statistics and Its Application, 11(1):393–417, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 946643ba-a64c-4cec-9a8c-a0d061dcdcc1 · outbound

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Learnable quantum spectral filters for hybrid graph neural networks A user guide to low-pass graph signal pro- cessing and its applications: Tools and applications.IEEE Signal Processing Magazine, 37(6):74–85, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:18.349622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86b7c5bd-ded1-409c-a38f-c2ebf2a7840b · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Learnable quantum spectral filters for hybrid graph neural networks An Introduction to Convolutional Neural Networks

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717fae10-8ccd-41a2-a71d-51465dbfb7e7 · outbound

This paper cites Introduction to convolutional neural networks.National Key Lab for Novel Software Technology.

Learnable quantum spectral filters for hybrid graph neural networks Introduction to convolutional neural networks.National Key Lab for Novel Software Technology

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c97d06e5-4483-485b-9bd7-92fad0f95d36 · outbound

This paper cites A survey of convolutional neural networks: analysis, applications, and prospects.IEEE transactions on neural networks and learning systems, 33(12):6999–7019, 2021.

Learnable quantum spectral filters for hybrid graph neural networks A survey of convolutional neural networks: analysis, applications, and prospects.IEEE transactions on neural networks and learning systems, 33(12):6999–7019, 2021

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:02.305240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c5282a-1168-4702-b41b-216abbaca773 · outbound

This paper cites Review of lightweight deep convolutional neural networks.Archives of Computational Methods in Engineering, 31(4):1915–1937, 2024.

Learnable quantum spectral filters for hybrid graph neural networks Review of lightweight deep convolutional neural networks.Archives of Computational Methods in Engineering, 31(4):1915–1937, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:17.873827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94b2236d-1916-428a-a656-8dae472071a0 · outbound

This paper cites Convolutional neural networks on graphs with chebyshev approximation, revisited.Advances in neural information processing systems, 35:7264–7276, 2022.

Learnable quantum spectral filters for hybrid graph neural networks Convolutional neural networks on graphs with chebyshev approximation, revisited.Advances in neural information processing systems, 35:7264–7276, 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da38fcc2-d478-41e4-88b0-b0ff9da0f54c · outbound

This paper cites Graph neural network, chebnet, graph convolutional network, and graph autoencoder: Tutorial and survey.

Learnable quantum spectral filters for hybrid graph neural networks Graph neural network, chebnet, graph convolutional network, and graph autoencoder: Tutorial and survey

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c3232043-ae35-43d8-b877-7719532245e8 · outbound

This paper cites Spectral representations for convolutional neural networks.Advances in neural information processing systems, 28, 2015.

Learnable quantum spectral filters for hybrid graph neural networks Spectral representations for convolutional neural networks.Advances in neural information processing systems, 28, 2015

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f62c29c3-7f25-492c-8b15-ef84397e97b6 · outbound

This paper cites On the stability of polynomial spectral graph fil- ters.

Learnable quantum spectral filters for hybrid graph neural networks On the stability of polynomial spectral graph fil- ters

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87ddc19c-8f98-48c3-a255-ba86b3d01631 · outbound

This paper cites JHU press, 2013.

Learnable quantum spectral filters for hybrid graph neural networks JHU press, 2013

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:03.055762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7a8c060-ad7f-402e-aff9-7f7fc5209db4 · outbound

This paper cites Wavelets on graphs via spectral graph theory.Applied and Computational Harmonic Analysis, 30(2):129–150, 2011.

Learnable quantum spectral filters for hybrid graph neural networks Wavelets on graphs via spectral graph theory.Applied and Computational Harmonic Analysis, 30(2):129–150, 2011

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9dcf73d-43a6-41d8-a4df-2f36fde1c22a · outbound

This paper cites Revisiting convolutional neural network on graphs with polynomial approximations of laplace–beltrami spectral filtering.Neural Computing and Applications, 33:13693–13704, 2021.

Learnable quantum spectral filters for hybrid graph neural networks Revisiting convolutional neural network on graphs with polynomial approximations of laplace–beltrami spectral filtering.Neural Computing and Applications, 33:13693–13704, 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e5fb737-656e-45f2-9f11-8d6a23f67a75 · outbound

This paper cites Quantum convolutional neural networks.Nature Physics, 15(12):1273–1278, 2019.

Learnable quantum spectral filters for hybrid graph neural networks Quantum convolutional neural networks.Nature Physics, 15(12):1273–1278, 2019

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bed9a070-e90d-477f-8d8a-bee8f95b41a4 · outbound

This paper cites A tutorial on quantum convolutional neural networks (qcnn).

Learnable quantum spectral filters for hybrid graph neural networks A tutorial on quantum convolutional neural networks (qcnn)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:15.903228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0b69124-175a-4e55-9c7e-6b6826a8f97a · outbound

This paper cites Quantum convo- lutional neural networks for high energy physics data analysis.Physical Review Research, 4(1):013231, 2022.

Learnable quantum spectral filters for hybrid graph neural networks Quantum convo- lutional neural networks for high energy physics data analysis.Physical Review Research, 4(1):013231, 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d24ce8e-da40-4926-a70b-ff910026e28e · outbound

This paper cites Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases.Nature communications, 13(1):4144, 2022.

Learnable quantum spectral filters for hybrid graph neural networks Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases.Nature communications, 13(1):4144, 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b0ec24c-1074-4d24-8591-8d728f439a1e · outbound

This paper cites What can we learn from quantum convolutional neural networks?Advanced Quantum Technologies, page 2400325, 2023.

Learnable quantum spectral filters for hybrid graph neural networks What can we learn from quantum convolutional neural networks?Advanced Quantum Technologies, page 2400325, 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 990abaf9-69a2-431e-992d-324989ad212a · outbound

This paper cites Hybrid quantum-classical convolutional neural networks.Science China Physics, Mechanics & Astronomy, 64(9):290311, 2021.

Learnable quantum spectral filters for hybrid graph neural networks Hybrid quantum-classical convolutional neural networks.Science China Physics, Mechanics & Astronomy, 64(9):290311, 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4647e3fa-d919-4a16-a7dd-6593510e3174 · outbound

This paper cites Quantum convolutional neural networks for multi-channel supervised learning.Quantum Machine Intelligence, 5(2):41, 2023.

Learnable quantum spectral filters for hybrid graph neural networks Quantum convolutional neural networks for multi-channel supervised learning.Quantum Machine Intelligence, 5(2):41, 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d8ead58d-b166-4d1a-8e37-b0b529777048 · outbound

This paper cites Classical-to-quantum convolutional neural network transfer learning.Neurocomputing, 555:126643, 2023.

Learnable quantum spectral filters for hybrid graph neural networks Classical-to-quantum convolutional neural network transfer learning.Neurocomputing, 555:126643, 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d9cc071-16a8-4942-bb09-917c0a25be47 · outbound

This paper cites Quantum convolutional neural network based on variational quantum circuits.Optics Communications, 550:129993, 2024.

Learnable quantum spectral filters for hybrid graph neural networks Quantum convolutional neural network based on variational quantum circuits.Optics Communications, 550:129993, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ed28cec-c950-47e3-9fb9-78d38c3aee32 · outbound

This paper cites Quantum Algorithms for Deep Convolutional Neural Networks.

Learnable quantum spectral filters for hybrid graph neural networks Quantum Algorithms for Deep Convolutional Neural Networks

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:04.480697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 256b39bc-bc06-4eec-b633-b834d51142b1 · outbound

This paper cites Quantum optical convolutional neural network: a novel image recognition framework for quantum computing.IEEE access, 9:103337–103346, 2021.

Learnable quantum spectral filters for hybrid graph neural networks Quantum optical convolutional neural network: a novel image recognition framework for quantum computing.IEEE access, 9:103337–103346, 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 715f99e6-e8ff-41b4-83d8-12ca2dfa06ee · outbound

This paper cites Quantum Convolutional Neural Networks are Effectively Classically Simulable.

Learnable quantum spectral filters for hybrid graph neural networks Quantum Convolutional Neural Networks are Effectively Classically Simulable

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:04.694639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcba1630-4212-4f33-8ed2-8eec593a773c · outbound

This paper cites Efficient classical simulation of random shallow 2d quantum circuits.Physical Review X, 12(2):021021, 2022.

Learnable quantum spectral filters for hybrid graph neural networks Efficient classical simulation of random shallow 2d quantum circuits.Physical Review X, 12(2):021021, 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9670067a-a888-4d8b-ba1e-dd0cf22c06ee · outbound

This paper cites Quantum Graph Neural Networks.

Learnable quantum spectral filters for hybrid graph neural networks Quantum Graph Neural Networks

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:04.948196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee1cf21-d779-44dd-aac4-5d152d9c1f0a · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Learnable quantum spectral filters for hybrid graph neural networks A Quantum Approximate Optimization Algorithm

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:05.082070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca86fc88-c336-4662-ba84-56c4249043da · outbound

This paper cites From the quantum approximate optimization algorithm to a quantum alternating operator ansatz.Algorithms, 12(2):34, 2019.

Learnable quantum spectral filters for hybrid graph neural networks From the quantum approximate optimization algorithm to a quantum alternating operator ansatz.Algorithms, 12(2):34, 2019

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75666890-3800-4b67-914b-a4136129360e · outbound

This paper cites Quantum-based subgraph convolutional neural networks.Pattern Recognition, 88:38–49, 2019.

Learnable quantum spectral filters for hybrid graph neural networks Quantum-based subgraph convolutional neural networks.Pattern Recognition, 88:38–49, 2019

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cda199e5-13a1-41dd-b779-770af9e1b41e · outbound

This paper cites On the design of quantum graph convolutional neural network in the nisq-era and beyond.

Learnable quantum spectral filters for hybrid graph neural networks On the design of quantum graph convolutional neural network in the nisq-era and beyond

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44b9d395-a971-4d8f-819a-01dba320920a · outbound

This paper cites A quantum spatial graph convolu- tional neural network model on quantum circuits.IEEE Transactions on Neural Networks and Learning Systems, 2024.

Learnable quantum spectral filters for hybrid graph neural networks A quantum spatial graph convolu- tional neural network model on quantum circuits.IEEE Transactions on Neural Networks and Learning Systems, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f49304a0-ee64-4bc4-a23e-3f797fdc33b5 · outbound

This paper cites Financial fraud detection using quantum graph neural networks.Quantum Machine Intelligence, 6(1):7, 2024.

Learnable quantum spectral filters for hybrid graph neural networks Financial fraud detection using quantum graph neural networks.Quantum Machine Intelligence, 6(1):7, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2eb94d19-5fd7-4f93-942a-4de1e129d921 · outbound

This paper cites Quantum graph neural network models for materials search.Materials, 16(12):4300, 2023.

Learnable quantum spectral filters for hybrid graph neural networks Quantum graph neural network models for materials search.Materials, 16(12):4300, 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4609e3b4-87f7-48dc-9c76-dd875cc3ecf9 · outbound

This paper cites A unifying primary framework for qgnns from quantum graph states.The European Physical Journal Special Topics, pages 1–10, 2024.

Learnable quantum spectral filters for hybrid graph neural networks A unifying primary framework for qgnns from quantum graph states.The European Physical Journal Special Topics, pages 1–10, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23982e64-c6e3-4408-acee-97f439cc03a0 · outbound

This paper cites Ground state-based quantum feature maps.

Learnable quantum spectral filters for hybrid graph neural networks Ground state-based quantum feature maps

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.124469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c00298b-130b-49c0-a2bd-667b58f87444 · outbound

This paper cites Iterative Quantum Feature Maps.

Learnable quantum spectral filters for hybrid graph neural networks Iterative Quantum Feature Maps

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.250765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101a23f9-2327-43a4-af85-5a6555a62d6e · outbound

This paper cites Efficient quantum feature extraction for cnn-based learning.

Learnable quantum spectral filters for hybrid graph neural networks Efficient quantum feature extraction for cnn-based learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:29:12.301867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1cce699-5483-4e57-b8a3-eeba682d2686 · outbound

This paper cites Hybrid Quantum-Classical Graph Convolutional Network.

Learnable quantum spectral filters for hybrid graph neural networks Hybrid Quantum-Classical Graph Convolutional Network

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:06.474673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45ab4df-8f9c-49a2-a82d-0e7d27db4219 · outbound

This paper cites Quantum graph as a quantum spectral filter.Journal of Mathematical Physics, 54(3), 2013.

Learnable quantum spectral filters for hybrid graph neural networks Quantum graph as a quantum spectral filter.Journal of Mathematical Physics, 54(3), 2013

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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