EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting | Paper Citation Record

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This paper cites Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on , pages=

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This paper cites Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of , pages=

Reference 2

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Transportmetrica A: Transport Science , volume=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , address=

Reference 5

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This paper cites A simple and effective method for predicting travel times on freeways , Volume =.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting A simple and effective method for predicting travel times on freeways , Volume =

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Travel-time prediction with support vector regression , Volume =

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Long Short-Term Memory , Volume =

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting NIPS 2014 Workshop Deep Learn

Reference 9

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This paper cites Convolutional neural networks on graphs with fast localized spectral filtering , address=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Convolutional neural networks on graphs with fast localized spectral filtering , address=

Reference 11

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting and Towsley, D

Reference 12

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting 2014 , month=oct, publisher=

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This paper cites A Field Guide to Dynamical Recurrent Neural Networks , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting A Field Guide to Dynamical Recurrent Neural Networks , pages=

Reference 20

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting , title =

Reference 22

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting 2015 IEEE Conf

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 27th International Joint Conference on Artificial Intelligence , pages=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting GMAN: A Graph Multi-Attention Network for Traffic Prediction

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 29th ACM international conference on information & knowledge management , pages=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence , pages=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of The Web Conference 2020 , pages=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs , booktitle =

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the IEEE International Conference on Computer Vision , pages=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the VLDB Endowment , volume=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting IEEE Transactions on Intelligent Transportation Systems , volume=

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the IEEE International Conference on Computer Vision (ICCV) , pages=

Reference 60

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Advances in Neural Information Processing Systems 29 , pages=

Reference 61

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EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting NIPS 2014 Workshop on Deep Learning , address=

Reference 62

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Observation ce9b2fd7-2f2f-49cb-bd76-f4f2872be9aa · outbound

This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.000612Z

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Observation be424e7d-40d4-4207-9ab9-6423401d687a · outbound

This paper cites Proceedings of the 33rd AAAI Conference on Artificial Intelligence , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 33rd AAAI Conference on Artificial Intelligence , pages=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.086641Z

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Observation f9a7b2d6-1225-49fb-afac-ae7474a2bdcd · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 34th International Conference on Machine Learning , pages=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.144805Z

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Observation 783b0c0c-36dc-49b2-8cc0-13944b4305c5 · outbound

This paper cites Proceedings of the 33rd AAAI Conference on Artificial Intelligence , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 33rd AAAI Conference on Artificial Intelligence , pages=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.229614Z

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Observation 86aa814c-8e63-4587-92ae-99c90e134e51 · outbound

This paper cites Neural Computation , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Neural Computation , volume=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.303861Z

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Unavailable: canonical work link unavailable.

Observation fc5da599-e8f4-48fd-badb-e6c59042e41f · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.371536Z

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Unavailable: canonical work link unavailable.

Observation 52faa54b-5d8d-441f-a8ed-64af6f9458d9 · outbound

This paper cites 6th International Conference on Learning Representations , address=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting 6th International Conference on Learning Representations , address=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.463551Z

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Unavailable: canonical work link unavailable.

Observation f02b5063-3b7e-471a-a304-55d1e628d4e1 · outbound

This paper cites Journal of Forecasting , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Journal of Forecasting , volume=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.561589Z

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Unavailable: canonical work link unavailable.

Observation 1bbb8385-bcc4-4663-ac04-7293b0e840c1 · outbound

This paper cites Advances in Neural Information Processing Systems 27 , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Advances in Neural Information Processing Systems 27 , pages=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.659778Z

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Unavailable: canonical work link unavailable.

Observation a756b3ad-a313-436c-8bf3-a64d0f4cd6f7 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.747251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a3d384-8e29-45b6-a2b0-6601954005d8 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.840822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab7ebcc-94cc-45b4-a28f-9594d8844080 · outbound

This paper cites Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence , pages=

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:47.911756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daca5186-cb3c-4d61-8004-3cb9cc482f49 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.046828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a3d7e0-be57-4fe6-bd10-fa875274390f · outbound

This paper cites Plos one , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Plos one , volume=

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.135773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae438b3e-507f-4628-b332-b0bea58cb9df · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.240326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a8faa8-1e1f-4e1c-a716-bd535387201d · outbound

This paper cites 2020 IEEE International Conference on Data Mining (ICDM) , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting 2020 IEEE International Conference on Data Mining (ICDM) , pages=

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.311834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822c33f2-5b37-4650-9d23-6e2b948ade69 · outbound

This paper cites Proceedings of the 31st ACM international conference on information & knowledge management , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 31st ACM international conference on information & knowledge management , pages=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.411720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ae3856-ab75-420f-a441-8461409f9706 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.490503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 615e304c-4c5d-4d8a-be25-4b3d2a98c8ca · outbound

This paper cites sensors , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting sensors , volume=

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.570096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 714404a8-7d06-49a6-bb46-6f767f3d0e1d · outbound

This paper cites IEEE transactions on neural networks , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting IEEE transactions on neural networks , volume=

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.668246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b83bca9-2a98-427f-aa6a-74492ebb47b0 · outbound

This paper cites Proceedings of the 32nd ACM international conference on information and knowledge management , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Proceedings of the 32nd ACM international conference on information and knowledge management , pages=

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.786712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8ed996-29cd-49d0-8be6-e0fa3080177f · outbound

This paper cites Advances in neural information processing systems , volume=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Advances in neural information processing systems , volume=

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.885595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f0d778-0df3-46ee-b06c-896e451cfe1b · outbound

This paper cites International conference on machine learning , pages=.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting International conference on machine learning , pages=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-02T05:50:48.991778Z

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Outbound references

Pith citing papers