Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery | Paper Citation Record

Observation 384e6cbe-2eb5-4fae-b4ac-bc5cab970ac9 · outbound

This paper cites Newman, Networks: An Introduction.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Newman, Networks: An Introduction

Reference 1

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Observation 25a2b3ae-6038-480e-8a99-97d92bbdf8bd · outbound

This paper cites State estima tion in partially observable power systems via graph signal proces sing tools,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery State estima tion in partially observable power systems via graph signal proces sing tools,

Reference 2

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This paper cites Stankovi´ c, D.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Stankovi´ c, D

Reference 3

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This paper cites Three-dimensional struct ure determination from common lines in cryo-EM by eigenvectors and semideﬁnit e programming,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Three-dimensional struct ure determination from common lines in cryo-EM by eigenvectors and semideﬁnit e programming,

Reference 4

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This paper cites Distributed clock synchron ization over wireless networks: Algorithms and analysis,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Distributed clock synchron ization over wireless networks: Algorithms and analysis,

Reference 5

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This paper cites Detection of false data in jection attacks in smart grids based on graph signal processing,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Detection of false data in jection attacks in smart grids based on graph signal processing,

Reference 6

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This paper cites V erifying the smoothness of graph signals: A graph signal processing approach,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery V erifying the smoothness of graph signals: A graph signal processing approach,

Reference 7

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Observation fd130534-11a3-4e28-8d79-9c3e71cd7f30 · outbound

This paper cites Identiﬁca tion of outages in power systems with uncertain states and optimal s ensor locations,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Identiﬁca tion of outages in power systems with uncertain states and optimal s ensor locations,

Reference 8

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This paper cites The emerging ﬁeld of signal processing on grap hs: Extend- ing high-dimensional data analysis to networks and other ir regular do- mains,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery The emerging ﬁeld of signal processing on grap hs: Extend- ing high-dimensional data analysis to networks and other ir regular do- mains,

Reference 9

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This paper cites Discrete signal proc essing on graphs: Frequency analysis,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Discrete signal proc essing on graphs: Frequency analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.106634Z

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Observation f478d424-06ba-446a-a8d7-a8f8ad9f484a · outbound

This paper cites Efﬁcient sampling set selection for bandlimited graph signals using graph spectral proxies,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Efﬁcient sampling set selection for bandlimited graph signals using graph spectral proxies,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.090687Z

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Observation 6a532c0b-8adb-41b3-a579-7a72b4b4a755 · outbound

This paper cites A distributed tracking algo rithm for reconstruction of graph signals,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery A distributed tracking algo rithm for reconstruction of graph signals,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.074278Z

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Observation 60e2b6ce-990c-46b4-ae8e-83a8242c2cf3 · outbound

This paper cites Discrete signal processing on graphs: Sampling theory,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Discrete signal processing on graphs: Sampling theory,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.057740Z

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Observation db555d18-49a8-4762-8ad9-ea0bd4954a19 · outbound

This paper cites Local measurement and recon struction for noisy bandlimited graph signals,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Local measurement and recon struction for noisy bandlimited graph signals,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.041910Z

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Observation 84e55482-7670-4bb4-8ab8-61a2f5945275 · outbound

This paper cites Samp ling of graph signals with successive local aggregations,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Samp ling of graph signals with successive local aggregations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.027023Z

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Observation d92963ab-ee80-4a5a-a4bf-3f1c8e65710c · outbound

This paper cites Sampli ng signals on graphs: From theory to applications,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sampli ng signals on graphs: From theory to applications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:50.012554Z

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Observation fb9b8a37-a72c-4301-84b2-b7e88b9727ba · outbound

This paper cites Line ar-time sampling on signed graphs via Gershgorin disc perfect align ment,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Line ar-time sampling on signed graphs via Gershgorin disc perfect align ment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.997823Z

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Observation 0d6ce7fb-06bb-467e-9395-9172fcdaa69f · outbound

This paper cites Global and local uncertainty principles for signals on graphs,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Global and local uncertainty principles for signals on graphs,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.982753Z

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Observation 8e23178e-3c65-4abc-8779-6653d8dda50a · outbound

This paper cites Fast resampling of three-dimensional point clouds via graphs,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Fast resampling of three-dimensional point clouds via graphs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.966961Z

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Observation 0194bf20-eca0-4456-9b92-b2a2f2667683 · outbound

This paper cites Random sampling of bandlimited signals on graphs,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Random sampling of bandlimited signals on graphs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.951642Z

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Observation 2e9c7129-1366-4f47-9941-c29d9d430b65 · outbound

This paper cites Cheby shev polynomial approximation for distributed signal processi ng,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Cheby shev polynomial approximation for distributed signal processi ng,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.936594Z

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Observation 1a1e7295-a13e-48bd-a65e-3ea34771ab46 · outbound

This paper cites Introduction to graph signal processing.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Introduction to graph signal processing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.920154Z

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Observation 7d5dc916-b3be-45f1-a9f9-731546635717 · outbound

This paper cites Distribute d algorithm for graph signal inpainting,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Distribute d algorithm for graph signal inpainting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.904743Z

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Observation f7faa91f-ea1a-42b2-8203-3136914d28a3 · outbound

This paper cites Reco nstruction of graph signals through percolation from seeding nodes,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Reco nstruction of graph signals through percolation from seeding nodes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.888912Z

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Observation 02bda06a-536a-46b2-8703-3440be82c404 · outbound

This paper cites F ast graph sampling set selection using gershgorin disc alignment,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery F ast graph sampling set selection using gershgorin disc alignment,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.873028Z

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Observation 584dafe1-b0ca-4538-be80-73e32e8065dd · outbound

This paper cites Sampling graph signa ls with sparse dictionary representation,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sampling graph signa ls with sparse dictionary representation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.857144Z

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Observation 17c4434c-7864-4241-930d-f54aab4b8da3 · outbound

This paper cites Sampling of g raph signals via randomized local aggregations,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sampling of g raph signals via randomized local aggregations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.840788Z

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Observation 21597ae8-e0b2-4b0a-bf22-d6b891550894 · outbound

This paper cites Sampling of graph signals with succes sive aggregations based on graph fractional fourier transform,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sampling of graph signals with succes sive aggregations based on graph fractional fourier transform,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.825007Z

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Observation 4c55dfae-b606-44bf-93bf-801fdc869661 · outbound

This paper cites Generalized sampling of multi-dimensional graph signals based on prior information,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Generalized sampling of multi-dimensional graph signals based on prior information,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.809631Z

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Observation eb599361-3981-43e5-9588-436b27de1851 · outbound

This paper cites Compressed sampling in s hift-invariant spaces associated with frft,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Compressed sampling in s hift-invariant spaces associated with frft,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.793228Z

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Observation 86d7a00d-a8f4-4af4-9d04-8189cee2ef0c · outbound

This paper cites Generalized Sampling on Grap hs With Subspace and Smoothness Priors,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Generalized Sampling on Grap hs With Subspace and Smoothness Priors,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.778663Z

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Observation 029693c9-8d08-42ed-9695-653b6f78f0d8 · outbound

This paper cites Sensor selection via convex optim ization,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sensor selection via convex optim ization,

Reference 32

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Observation d3717e5f-f307-421f-81d6-3bf062cdd928 · outbound

This paper cites Sparsity-promoting sensor s election for non-linear measurement models,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sparsity-promoting sensor s election for non-linear measurement models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.745631Z

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Observation 6a0337df-e371-4fb1-8ca4-c02e21780d8c · outbound

This paper cites Sensor management b ased on convex optimization via pcrlb and joint interception pro bability,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Sensor management b ased on convex optimization via pcrlb and joint interception pro bability,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.730872Z

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Observation 5bc17ef3-dc7a-4b76-974c-5f5af9f4dae0 · outbound

This paper cites Power systems test case archive.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Power systems test case archive

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.690449Z

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Observation 41813f9a-fbd6-43b0-b3f4-0f4b51bd5957 · outbound

This paper cites GSPBOX: A toolbox for signal processing on graphs,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery GSPBOX: A toolbox for signal processing on graphs,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.662876Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c0e9558-deda-46fb-9f87-88c252a4ec42 · outbound

This paper cites Signal recovery on graphs: V ariation minimization,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Signal recovery on graphs: V ariation minimization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.644349Z

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Observation 6e328127-7e6c-4f10-ae8c-fd297f06fc9c · outbound

This paper cites Graph signal processing: Overview, cha llenges, and applications,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Graph signal processing: Overview, cha llenges, and applications,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.628232Z

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Observation 897406da-20e7-40af-af59-883d2b3a771a · outbound

This paper cites Bridgin g hydraulics and graph signal processing: A new perspective t o estimate water distribution network pressures,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Bridgin g hydraulics and graph signal processing: A new perspective t o estimate water distribution network pressures,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.612114Z

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Observation 72acf83a-5b55-4a85-8f38-ce5e252d12bb · outbound

This paper cites Consensus ﬁlters for sensor networks and distributed sensor fusion,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Consensus ﬁlters for sensor networks and distributed sensor fusion,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.594443Z

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Observation 9a4d5ac7-e420-4245-aa6c-2d1de2825fac · outbound

This paper cites Graph signal processing for machine learning: A review and new per spectives,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Graph signal processing for machine learning: A review and new per spectives,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.579447Z

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Observation 984af6f2-56d9-4274-acda-a0e0a3224e52 · outbound

This paper cites How to learn a graph from smooth signals ,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery How to learn a graph from smooth signals ,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.563435Z

Source-reported events for the cited work

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Observation a73324be-2d5b-4f96-8248-fc69aceeb62b · outbound

This paper cites Signal recovery on graphs: Fundamental limits of sampling strategies,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Signal recovery on graphs: Fundamental limits of sampling strategies,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.546779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8726083d-8822-481e-b5d2-c745d61a00f4 · outbound

This paper cites Learnin g Laplacian matrix from bandlimited graph signals,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Learnin g Laplacian matrix from bandlimited graph signals,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.530396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8bfbff6c-3e42-49fd-8a1b-2d23787811f4 · outbound

This paper cites Learning Laplacian matrix in smooth graph signal representations,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Learning Laplacian matrix in smooth graph signal representations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.514651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 286e94c3-0d29-4710-89e2-fc8d404c7630 · outbound

This paper cites Graph topology learning and signal recovery via Bayesian inference.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Graph topology learning and signal recovery via Bayesian inference

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.499401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0ff8865-a410-442d-b6c6-a0aec0c8c2c5 · outbound

This paper cites Lecture notes on ridge regression.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Lecture notes on ridge regression

Reference 47

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Source-reported events for the cited work

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Observation 38ef877e-4637-4296-90c9-cf2efcfbbfc7 · outbound

This paper cites Energy ef ﬁcient WSN: a cross-layer graph signal processing solution to info rmation redundancy,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Energy ef ﬁcient WSN: a cross-layer graph signal processing solution to info rmation redundancy,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.483879Z

Source-reported events for the cited work

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Observation 0315abc9-df84-4992-89eb-7ccb3558565b · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:49.427716Z

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Observation 1767d14b-45d5-4de9-921e-119a26d2f9bd · outbound

This paper cites Exploring estim ator bias-variance tradeoffs using the uniform cr bound,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Exploring estim ator bias-variance tradeoffs using the uniform cr bound,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.369170Z

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Observation f701da4d-9499-48d2-95c3-da6402cfebde · outbound

This paper cites Minimum variance in biased estimation: Bo unds and asymptotically optimal estimators,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Minimum variance in biased estimation: Bo unds and asymptotically optimal estimators,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.303900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1bda06c9-74c1-4940-b2a8-2b9a997775aa · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:49.142756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 707c9cff-6869-46d0-a809-2c1b486c21b8 · outbound

This paper cites Big data analytic s using graph signal processing,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Big data analytic s using graph signal processing,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.126496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75192de2-89ac-4626-8072-64eeecd99071 · outbound

This paper cites The matrix cookbook,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery The matrix cookbook,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.109223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f9a970d0-1e48-4982-aa27-0a1f6a332c4a · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:49.093484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 091113dc-e765-4174-9d6d-63940f804cb6 · outbound

This paper cites Boyd and L.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Boyd and L

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T18:53:47.946771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a6b377-a7a4-4f22-8cf6-876c4422e54b · outbound

This paper cites Alternating projections,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Alternating projections,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.067690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 952db154-506c-417d-8976-710a10f07fac · outbound

This paper cites Graph ﬁlt ers for signal processing and machine learning on graphs,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Graph ﬁlt ers for signal processing and machine learning on graphs,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.052811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e892052-40bc-472a-a7d8-20be09b502e6 · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:49.037439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b931e38e-d82b-412d-9d00-b9ef45b1d69f · outbound

This paper cites Learn ing heat diffusion graphs,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Learn ing heat diffusion graphs,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.021948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc049f36-607b-4990-9efd-dd4bc0391415 · outbound

This paper cites Source loca lization on graphs via l1 recovery and spectral graph theory,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Source loca lization on graphs via l1 recovery and spectral graph theory,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:49.006617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 724a9637-7d43-49af-a236-bcd0954f40ae · outbound

This paper cites Learning to identify sources of net work diffusion,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Learning to identify sources of net work diffusion,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.973847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ede8053-3a26-41b9-9a48-a85e704b5c1e · outbound

This paper cites Grid-graph signal pr ocessing (grid-GSP): A graph signal processing framework for the pow er grid,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Grid-graph signal pr ocessing (grid-GSP): A graph signal processing framework for the pow er grid,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.878790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ad8cf0c-1e8d-4ed0-8a4d-cc663b3373f2 · outbound

This paper cites Monitoring and optimization for power grids: A signal processing perspective,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Monitoring and optimization for power grids: A signal processing perspective,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.796951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d774aef-84c7-45fc-8322-b4c1ff2762c1 · outbound

This paper cites Towards modeling the trafﬁc data on road networks,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Towards modeling the trafﬁc data on road networks,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.770260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7bb4f1a-ddb6-4ca0-aac8-3f629238190f · outbound

This paper cites Characterizing diffusion processes in city trafﬁc,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Characterizing diffusion processes in city trafﬁc,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.754401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf064a99-e45f-4323-bfb3-750180049a2c · outbound

This paper cites Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:53:48.255849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0c586a3-c7aa-4611-8880-a86c5048f312 · outbound

This paper cites On submodu larity and controllability in complex dynamical networks,.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery On submodu larity and controllability in complex dynamical networks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.738433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8fa911e2-9ae0-45bb-bfbe-e6b5814073ae · outbound

This paper cites 15 regularizer from ( 78), it is required that ε = 0, corresponding to the limit µ → ∞.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery 15 regularizer from ( 78), it is required that ε = 0, corresponding to the limit µ → ∞

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.721782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5dd2d878-1dd9-4063-952b-97d13f45c9f9 · outbound

This paper cites To proceed, we multiply both sides of (.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery To proceed, we multiply both sides of (

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.689946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 718d2609-4c83-4b20-ba72-9bc1888d2654 · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:48.408627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de3518ec-9fda-4f80-a476-97520c831cbf · outbound

This paper cites (111) Since both A and E deﬁned in (.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery (111) Since both A and E deﬁned in (

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.376568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ceeda4f-4d96-4868-8677-90857ef6cf49 · outbound

This paper cites Moreover, in the strictly bandlimited case, the signal lies in the subspace spanned by UR, and thus the effect of the regularization term in K†(d) vanishes.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Moreover, in the strictly bandlimited case, the signal lies in the subspace spanned by UR, and thus the effect of the regularization term in K†(d) vanishes

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.706038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68c4b83d-0994-4c62-9beb-21cca123e24b · outbound

This paper cites Substituting (.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Substituting (

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.673813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6759f9ad-a8f9-44db-a26c-05e874c40b1b · outbound

This paper cites (115) Proof: For anyS⊆V and diagonal R, it follows that hM(L)DR−1DhM(L) = ∑ i∈S 1 Ri,i [hM(L)]V,i [hM(L)]T V,i.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery (115) Proof: For anyS⊆V and diagonal R, it follows that hM(L)DR−1DhM(L) = ∑ i∈S 1 Ri,i [hM(L)]V,i [hM(L)]T V,i

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.325744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce40a57e-8bd7-4aae-b3e1-614549f04110 · outbound

This paper cites (85) Now, we deﬁne the effective measurement matrix as HR ≜ hM(L)UR∈ RN ×|R|.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery (85) Now, we deﬁne the effective measurement matrix as HR ≜ hM(L)UR∈ RN ×|R|

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.658325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d9069e6-c109-414a-b44e-525dd738ea20 · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:48.641645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b9478ea-8986-4482-8946-2319e8d96602 · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:48.293499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4aa10400-8791-4fb7-8e69-5af565d7433d · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 102

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:48.342661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3527642-7281-42e1-b706-397785d6ba7b · outbound

This paper cites Moreover, using matrix multiplication rules, we have M−1(µ) [ 0 0 0 µE ] = [ 0 −µA−1B S−1(µ)E 0 µS−1(µ)E ].

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Moreover, using matrix multiplication rules, we have M−1(µ) [ 0 0 0 µE ] = [ 0 −µA−1B S−1(µ)E 0 µS−1(µ)E ]

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.392694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7021f3d-3d8f-4c83-b5c6-3a09b546ba61 · outbound

This paper cites (98) Similarly, substituting (.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery (98) Similarly, substituting (

Reference 108

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.539213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c694f196-31b0-4fe5-a38a-ad5417e48e47 · outbound

This paper cites (97) By substituting (.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery (97) By substituting (

Reference 110

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.597198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11c820b0-fded-49b8-abd7-bd5c040b11c4 · outbound

This paper cites Consider the expression V−1µK†(d)h+ R (L)V = V−1µK†(d)VV−1h+ R (L)V.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Consider the expression V−1µK†(d)h+ R (L)V = V−1µK†(d)VV−1h+ R (L)V

Reference 111

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:53:48.358579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93e676ef-8113-4411-b085-e4589b081eae · outbound

This paper cites an unresolved cited work.

Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery Unresolved cited work

Reference 116

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:53:48.309250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

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