Paper Citation Record · LEDGER

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 3 inbound Pith citation observations for arXiv:2506.22004.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.22004 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:20:15.876838Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T08:47:43.116985Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T08:49:53.617983Z

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1c1aa78-f8ca-4812-8aed-0f114506db91 · outbound

This paper cites Inferring time varying signals over uncertain graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Inferring time varying signals over uncertain graphs,

Reference 1

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Observation 94e34a87-e7c0-40a2-b579-9664ceec00c1 · outbound

This paper cites Statistical models for network graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Statistical models for network graphs,

Reference 2

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Observation e34ec128-99b4-4723-8b6b-0f34727e2078 · outbound

This paper cites Graph signal processing: Overview, challenges, and appli- cations,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph signal processing: Overview, challenges, and appli- cations,

Reference 3

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Observation 6723c056-4608-4c28-83e2-08b84d7b5ac3 · outbound

This paper cites Learning to reconstruct missing data from spatiotemporal graphs with sparse observations,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Learning to reconstruct missing data from spatiotemporal graphs with sparse observations,

Reference 4

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Observation 60bb0080-b69c-46dd-8b50-24c92ece2ecc · outbound

This paper cites Fouriergnn: Rethinking multivariate time series forecasting from a pure graph perspective,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Fouriergnn: Rethinking multivariate time series forecasting from a pure graph perspective,

Reference 5

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Observation 10138aa3-ac02-4a8a-b99e-3c7763a7f6b1 · outbound

This paper cites Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges,

Reference 6

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Observation 77d39539-b113-4eb2-86e2-62769592ea67 · outbound

This paper cites Topology identi- fication and learning over graphs: Accounting for nonlinearities and dynamics,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Topology identi- fication and learning over graphs: Accounting for nonlinearities and dynamics,

Reference 7

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Observation fffbe5a0-d373-4cf8-a1d5-c791e752016c · outbound

This paper cites Learning graphs from data: A signal representation perspective,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Learning graphs from data: A signal representation perspective,

Reference 8

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Observation 61fcf4c9-894d-4382-9ed1-e7dd3d6c1d25 · outbound

This paper cites Connecting the dots: Identifying network structure via graph signal processing,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Connecting the dots: Identifying network structure via graph signal processing,

Reference 9

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Observation 5041f886-1b82-4a53-a514-f60740594ee9 · outbound

This paper cites Learning graphs from smooth and graph-stationary signals with hidden variables,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Learning graphs from smooth and graph-stationary signals with hidden variables,

Reference 10

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Observation 58506c3b-77ca-46d6-8239-9d742190a028 · outbound

This paper cites Kernel-based structural equation models for topology identification of directed networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Kernel-based structural equation models for topology identification of directed networks,

Reference 11

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Observation 6258b57f-df77-4e91-b33c-c7fc9324731d · outbound

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

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph filters for signal processing and machine learning on graphs,

Reference 12

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Observation afdad239-3941-4421-b050-51b154a46edf · outbound

This paper cites Graph signal processing in the presence of topology uncertainties,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph signal processing in the presence of topology uncertainties,

Reference 13

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Observation 67eb3880-dee9-4c6d-a575-a85df2367100 · outbound

This paper cites Graph-time convolutional neural networks: Architecture and theoretical analysis,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph-time convolutional neural networks: Architecture and theoretical analysis,

Reference 14

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Observation 7e56a766-a90e-4a50-a02a-3dbe5a99fab1 · outbound

This paper cites Learning stochastic graph neural networks with constrained variance,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Learning stochastic graph neural networks with constrained variance,

Reference 15

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Observation f9120e65-c28a-4029-b3c6-9cbbbc076b6a · outbound

This paper cites Stochastic graph neural networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Stochastic graph neural networks,

Reference 16

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Source-reported events for the cited work

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Observation c3c4779c-1bc3-4f44-b340-084c20052e51 · outbound

This paper cites Stability of graph convolutional neural networks to stochastic perturbations,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Stability of graph convolutional neural networks to stochastic perturbations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.431742Z

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Observation f605c110-8f68-4196-b0b8-abda3e6b0f56 · outbound

This paper cites Grand: Graph neural diffusion,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Grand: Graph neural diffusion,

Reference 18

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Observation 3a80b0c2-29a2-443a-934c-a60ac5285f4b · outbound

This paper cites On the robustness of graph neural diffusion to topology perturbations,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning On the robustness of graph neural diffusion to topology perturbations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.264788Z

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Observation 4e8afa92-1dff-46a4-810e-bae81e3996e2 · outbound

This paper cites Kernels and regularization on graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Kernels and regularization on graphs,

Reference 20

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Observation b766fc71-9adc-4b7a-8cd8-ac8649409093 · outbound

This paper cites Kernel-based recon- struction of space-time functions on dynamic graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Kernel-based recon- struction of space-time functions on dynamic graphs,

Reference 21

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Observation 597a5188-6fb4-4761-8909-db0f9700db62 · outbound

This paper cites Probabilistic reconstruction of spatio- temporal processes over multi-relational graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Probabilistic reconstruction of spatio- temporal processes over multi-relational graphs,

Reference 22

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Observation 43d016f6-8b22-4db0-a27e-82a5e2eb69d5 · outbound

This paper cites Spatio-temporal inference of dynamical gaussian processes over graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Spatio-temporal inference of dynamical gaussian processes over graphs,

Reference 23

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Observation 499caa4a-8c7b-4aab-b95e-0c2025f63727 · outbound

This paper cites Gaussian processes on graphs via spectral kernel learning,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Gaussian processes on graphs via spectral kernel learning,

Reference 24

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Observation a61e40d7-cf66-4075-912f-4398b28e9f51 · outbound

This paper cites Non-separable spatio- temporal graph kernels via spdes,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Non-separable spatio- temporal graph kernels via spdes,

Reference 25

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Observation 139d49b7-cf91-4b16-984a-3efd7991810d · outbound

This paper cites A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.514532Z

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Observation edb67986-5901-491e-97cb-291c51457b2a · outbound

This paper cites Gated graph recurrent neural networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Gated graph recurrent neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.351973Z

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Observation 1b9fd108-2690-4e49-bbd6-27c6b892c0d8 · outbound

This paper cites Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization,

Reference 28

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Observation 73464d3b-66e1-4b46-9c54-c38cc8c98ca1 · outbound

This paper cites Model-Based Deep Learning,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Model-Based Deep Learning,

Reference 29

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Observation db4be3b3-7b38-432a-9b2f-76c8381eb26d · outbound

This paper cites Robust stochastically- descending unrolled networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Robust stochastically- descending unrolled networks,

Reference 30

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Observation 176ec65b-eae5-4e11-b94f-96123d958bf1 · outbound

This paper cites Graph-time trend filtering and unrolling network,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph-time trend filtering and unrolling network,

Reference 31

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Observation 26e1927b-f69e-4ef7-9a9f-973f889645cf · outbound

This paper cites Graph unrolling networks: Inter- pretable neural networks for graph signal denoising,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph unrolling networks: Inter- pretable neural networks for graph signal denoising,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.761883Z

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Observation 9876707c-fd3c-4625-b506-21abe2f1beda · outbound

This paper cites Graph signal restoration using nested deep algorithm unrolling,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph signal restoration using nested deep algorithm unrolling,

Reference 33

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Observation 1bb706b2-d3e7-47f8-a93b-a5af075c723f · outbound

This paper cites Time-varying graph signal inpainting via unrolling networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Time-varying graph signal inpainting via unrolling networks,

Reference 34

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Observation d8eeb64e-7fdc-47e6-b0c7-5ed0f8bfea0e · outbound

This paper cites Unrolling of deep graph total vari- ation for image denoising,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Unrolling of deep graph total vari- ation for image denoising,

Reference 35

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Observation a09b9ea5-a042-42c2-af33-d52c54922460 · outbound

This paper cites Observing and tracking bandlimited graph processes from sampled measurements,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Observing and tracking bandlimited graph processes from sampled measurements,

Reference 36

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Observation f4d7b3d4-7442-43d3-b6b6-e4ddbef298ae · outbound

This paper cites Kalmannet: Neural network aided kalman filtering for partially known dynamics,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Kalmannet: Neural network aided kalman filtering for partially known dynamics,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.114242Z

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Observation 25e5b368-e904-4cad-af2f-246e27cbd8f4 · outbound

This paper cites Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.933151Z

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Observation 2510aaf4-1c75-4df8-a89e-03e766a91f3b · outbound

This paper cites GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering

Reference 39

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Observation 12c92a47-01d4-4ee8-9a2a-c36d944fb770 · outbound

This paper cites Kalman Filtering Over Graphs: Theory and Applications,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Kalman Filtering Over Graphs: Theory and Applications,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.816913Z

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Observation 0d706d72-6124-4662-bda9-ede540ec9d2b · outbound

This paper cites Unscented Kalman filter of graph signals,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Unscented Kalman filter of graph signals,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.696886Z

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Observation ba8d1220-015c-4c39-b63d-f349440c4623 · outbound

This paper cites Graph-frequency domain kalman filtering for industrial pipe networks subject to measurement outliers,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph-frequency domain kalman filtering for industrial pipe networks subject to measurement outliers,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.561203Z

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Observation 6bdd4b91-b878-48cf-98fa-f8ac89469307 · outbound

This paper cites Stability properties of graph neural networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Stability properties of graph neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.479467Z

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Observation d3d2cc78-08b8-4a2b-a59f-cbc670c4f01b · outbound

This paper cites On the transferability of spectral graph filters,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning On the transferability of spectral graph filters,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.374559Z

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Observation 7aa01bb1-a843-4136-8959-bfeb218f9c50 · outbound

This paper cites Capp ´e, E.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Capp ´e, E

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.299217Z

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Observation 55f38399-58c9-4dc9-8467-8a1a77a47ead · outbound

This paper cites Maximum likelihood from incomplete data via the em algorithm,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Maximum likelihood from incomplete data via the em algorithm,

Reference 46

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Observation 99dce65b-4c27-4540-9e52-00668c1118c7 · outbound

This paper cites Statistical inference for probabilistic functions of finite state markov chains,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Statistical inference for probabilistic functions of finite state markov chains,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.226379Z

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Observation bc5d573e-e6c4-40be-9e71-dd60b6a1c3e4 · outbound

This paper cites Data-driven initialization of deep learning solvers for hamilton-jacobi-bellman pdes,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Data-driven initialization of deep learning solvers for hamilton-jacobi-bellman pdes,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:08.079288Z

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Observation f10811b5-bcb1-4659-8b02-460657e48ff7 · outbound

This paper cites New Results in Linear Filtering and Prediction Theory,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning New Results in Linear Filtering and Prediction Theory,

Reference 49

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This paper cites Graphs, convolutions, and neural networks: From graph filters to graph neural networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graphs, convolutions, and neural networks: From graph filters to graph neural networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:07.812497Z

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Observation c1db1ada-3366-4455-9ee5-ac2477fa692c · outbound

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GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Unresolved cited work

Reference 51

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This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:15.016340Z

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GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Unresolved cited work

Reference 53

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This paper cites Forecasting time series with varma recursions on graphs,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Forecasting time series with varma recursions on graphs,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:07.571828Z

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Observation 9a98cba9-8ffd-41b2-af88-652ccdfd7c0d · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 55

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This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:20:16.841289Z

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Observation 0e68a90b-ba86-4e6e-bdce-70d0c950cf84 · outbound

This paper cites Deep reinforcement learning for the real time control of stormwater systems,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Deep reinforcement learning for the real time control of stormwater systems,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:20:16.626100Z

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Observation eae45e37-ac90-44c8-982e-4f324a24318c · outbound

This paper cites Transferable and data efficient metamodeling of storm water system nodal depths using auto-regressive graph neural networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Transferable and data efficient metamodeling of storm water system nodal depths using auto-regressive graph neural networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:20:16.486592Z

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Observation fa492e26-85ca-4f1b-9b8f-475b9b3ee8bc · outbound

This paper cites Making waves: Towards data-centric water engineering,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Making waves: Towards data-centric water engineering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:20:16.297519Z

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Observation f3f07c66-3ef9-4b93-8743-e06e0b2ef368 · outbound

This paper cites Towards transfer- able metamodels for water distribution systems with edge-based graph neural networks,.

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning Towards transfer- able metamodels for water distribution systems with edge-based graph neural networks,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:20:16.153246Z

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Pith citing papers

Observation 61fc28b7-965f-4644-b9ac-393a9bd36a6a · inbound

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty cites this paper.

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning

Reference 45

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Observation b152178b-88be-499b-8b46-986d3b23bff2 · inbound

Topological Kalman Filtering on Cell Complexes cites this paper.

Topological Kalman Filtering on Cell Complexes GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning

Reference 4

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Observation c210bd04-33b4-4bb6-b92e-129f32b0eefa · inbound

Topological Kalman Filtering on Cell Complexes cites this paper.

Topological Kalman Filtering on Cell Complexes GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.