INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks | Paper Citation Record

Observation 29871fa0-aa63-4fb5-bf5c-91eeafd51a6d · outbound

This paper cites Atap guidelines: National guidelines for transport system management in australia.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Atap guidelines: National guidelines for transport system management in australia

Reference 1

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This paper cites Layer Normalization.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Layer Normalization

Reference 2

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This paper cites Z., Seneviratne, S., Pettit, C., Vu, H.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Z., Seneviratne, S., Pettit, C., Vu, H

Reference 3

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This paper cites and Dill, J.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Dill, J

Reference 4

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This paper cites and Pucher, J.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Pucher, J

Reference 5

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 6

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 7

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This paper cites Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective

Reference 8

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 9

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This paper cites J., Boogaard, H., Nijland, H., and Hoek, G.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks J., Boogaard, H., Nijland, H., and Hoek, G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:23:14.332004Z

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 11

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Observation 32de3e0e-cf05-4b07-b3a7-b48a8d0e487e · outbound

This paper cites Cycling remains at high levels in 2023 edition of EuroVelo Usage Monitoring Report.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Cycling remains at high levels in 2023 edition of EuroVelo Usage Monitoring Report

Reference 12

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 13

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 15

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 16

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 17

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Observation 928fe4c9-bbe9-4da4-8809-1c6e05102ee8 · outbound

This paper cites Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network

Reference 18

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This paper cites L., Spak, S.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks L., Spak, S

Reference 19

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This paper cites B., Medury, A., and Schneider, R.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks B., Medury, A., and Schneider, R

Reference 20

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 21

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 22

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 23

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Y lmaz, Y

Reference 24

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 25

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 26

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Observation 678da330-242d-4932-8c8e-e54f5e104dfd · outbound

This paper cites A., Mills, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks A., Mills, M

Reference 27

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This paper cites S., and Dhakad, N.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks S., and Dhakad, N

Reference 28

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 29

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This paper cites and Sener, I.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Sener, I

Reference 30

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

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 31

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Fan, W

Reference 32

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 33

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 34

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 35

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This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 36

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Observation 340d96f3-9de6-45e7-bb5e-df7c1016e23a · outbound

This paper cites M., Hyun, K.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks M., Hyun, K

Reference 37

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This paper cites M., Hyun, K.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks M., Hyun, K

Reference 38

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Observation 4d89df28-9fcc-48a4-8c44-d33e80633e2b · outbound

This paper cites A., Ferster, C., Roy, A., and Winters, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks A., Ferster, C., Roy, A., and Winters, M

Reference 39

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Observation 83a47ef1-499a-499e-afe4-012097f0fcd6 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 40

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Observation 3ebe86c6-0812-4265-8536-6dc58b35820c · outbound

This paper cites OpenStreetMap.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks OpenStreetMap

Reference 41

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This paper cites Gajewski, Hołyst, J.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Gajewski, Hołyst, J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:23:13.798421Z

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Observation 1ff774cf-7a38-4d75-abbb-e8132d55efcf · outbound

This paper cites and Liu, S.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Liu, S

Reference 43

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.767873Z

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Observation e2249361-7103-4c25-b664-80320d082038 · outbound

This paper cites and Buehler, R.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Buehler, R

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:23:13.749762Z

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Observation e678a862-5f25-4cba-8924-8ff2c2f8d6c1 · outbound

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.729736Z

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Observation a3549ed3-eaf8-478a-9906-53695717c14c · outbound

This paper cites C., Harris, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks C., Harris, M

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:23:13.710942Z

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 48

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Observation cc557b73-8c13-4649-b0f9-2c64788e92ec · outbound

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INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 49

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Observation 3f7899b8-fe4e-45fa-b367-1c112863019c · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 50

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Observation aacd9b4c-e7c7-44cc-9a67-a57d7a5d40eb · outbound

This paper cites Strava Metro.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Strava Metro

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:23:13.628289Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcce3ed0-d378-4027-a121-58e0f59d0269 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.604643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6464f12-f0a3-4359-9347-f0e9953fae3a · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.582338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fa6ce38-5c67-4ef4-bbf7-087c30e0aec1 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.561786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fdcaa3a4-eed5-4f6b-80e6-1bc9219f5f89 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.542575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ae01b14-5378-48c9-a9fd-83bf26e2ad1b · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.522654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba23dbc5-9eb2-4f0c-9d17-523512880895 · outbound

This paper cites and Branion-Calles, M.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks and Branion-Calles, M

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:23:13.495739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation baeca4e1-3652-4b53-93a6-077798ea9d67 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.476024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4e0a5bc-d411-4d38-a9b0-100373bc37bc · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.458635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad6e16aa-1c24-4de4-811a-2eb032c8328c · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T10:23:13.082405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c7d1c3-57f8-44e5-992b-d114bb1a8cf7 · outbound

This paper cites GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T10:23:13.088700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdf94ff6-ea66-4858-a03b-a560b84fa8bd · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.439417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4135489d-f170-48ea-866e-1e38a7b6eab6 · outbound

This paper cites an unresolved cited work.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:23:13.421627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers