Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs | Paper Citation Record

Observation 7fbb4574-1197-4db2-96f0-852182f40d9c · outbound

This paper cites Nguyen, Ming Ding, Pubudu N.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Nguyen, Ming Ding, Pubudu N

Reference 1

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7f70fcb-7755-4223-977b-8a3ce8e897eb · outbound

This paper cites Shahjalal, Shakil Ahmed, and Yeong Min Jang.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Shahjalal, Shakil Ahmed, and Yeong Min Jang

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.848618Z

Source-reported events for the cited work

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Observation cb7ac010-5f60-450b-9e42-28d3a0dbd2db · outbound

This paper cites Khawaja, Farah Sabir, Sameer Qazi, and Muhammad Mustaqim.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Khawaja, Farah Sabir, Sameer Qazi, and Muhammad Mustaqim

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.850375Z

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Observation e2e026ca-59d2-4e82-8bcd-db42d641c95e · outbound

This paper cites A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering.Sensors, 22(10):3607, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering.Sensors, 22(10):3607, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.863948Z

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Observation bf896359-1386-49b1-bab9-4f0c0e622f0a · outbound

This paper cites Industry 5.0: A survey on enabling tech- nologies and potential applications.Journal of industrial information integration, 26:100257, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Industry 5.0: A survey on enabling tech- nologies and potential applications.Journal of industrial information integration, 26:100257, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.869829Z

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Observation 38915086-8ef0-40da-b82b-55f5ddad1dec · outbound

This paper cites The disruptions of 5g on data-driven technologies and applications.IEEE Transactions on Knowledge and Data Engineering, 32(6):1179–1198, 2020.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs The disruptions of 5g on data-driven technologies and applications.IEEE Transactions on Knowledge and Data Engineering, 32(6):1179–1198, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.875383Z

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Observation c4d18caa-35e2-46b4-9c1e-6027c73a1467 · outbound

This paper cites Artificial-intelligence-enabled intelligent 6g networks.IEEE Network, 34(6):272–280, 2020.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Artificial-intelligence-enabled intelligent 6g networks.IEEE Network, 34(6):272–280, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.879026Z

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Observation 554335ca-edb0-4edc-8617-dbfb54003e55 · outbound

This paper cites an unresolved cited work.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-07-09T04:25:59.882659Z

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Observation 08444c76-c0c4-49ba-82ec-e08b292b9b5a · outbound

This paper cites an unresolved cited work.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-07-09T04:25:59.919662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e746288-0050-4f98-9796-43bac7df2471 · outbound

This paper cites Evolution of next generation net- works and its contribution towards industry 5.0.Resource Management in Advanced Wireless Networks, pages 45–80, 2025.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Evolution of next generation net- works and its contribution towards industry 5.0.Resource Management in Advanced Wireless Networks, pages 45–80, 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.932307Z

Source-reported events for the cited work

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Observation 1b10d5ab-da07-4273-98cf-9db0b645600e · outbound

This paper cites Optimizing 5g net- work performance with dynamic resource allocation, robust encryption and quality of service (qos) enhancement.PeerJ Computer Science, 10:e2567, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Optimizing 5g net- work performance with dynamic resource allocation, robust encryption and quality of service (qos) enhancement.PeerJ Computer Science, 10:e2567, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.857237Z

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Observation 6f1e0394-4225-4b6a-b26e-f69fe33360e3 · outbound

This paper cites A systematic network traffic emulation framework for digital twin network.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs A systematic network traffic emulation framework for digital twin network

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.843262Z

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Observation f719f4c5-88c0-40d1-9ca1-7f31c58f543f · outbound

This paper cites Network digital twin: Context, enabling technologies, and opportunities.IEEE Communications Magazine, 60(11):22–27, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Network digital twin: Context, enabling technologies, and opportunities.IEEE Communications Magazine, 60(11):22–27, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.837563Z

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Observation 77ff2ebb-0d3f-4c82-9246-e5b1a8aa1c3e · outbound

This paper cites Message Passing Neural Networks for Traffic Forecasting.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Message Passing Neural Networks for Traffic Forecasting

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:54:40.079781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86e623de-4dd2-4e91-b234-ae4bfb832d1d · outbound

This paper cites Ai-driven traffic optimization in 5g and beyond: Challenges, strategies, solutions, and prospects.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Ai-driven traffic optimization in 5g and beyond: Challenges, strategies, solutions, and prospects

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.839505Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fcda7374-6c1c-459e-be53-8897d728588d · outbound

This paper cites an unresolved cited work.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-07-09T04:25:59.928919Z

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Observation 81bdb640-a06d-4359-8b39-800bd462dd0a · outbound

This paper cites Exploring the potential of ai-driven optimization in enhancing network performance and efficiency.Magna Scientia Advanced Research and Reviews, 10(1):368–378, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Exploring the potential of ai-driven optimization in enhancing network performance and efficiency.Magna Scientia Advanced Research and Reviews, 10(1):368–378, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.852508Z

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Observation 1a4dc16b-e311-4463-8daa-b9fa32520d4a · outbound

This paper cites Random graph modeling: A survey of the concepts.ACM computing surveys (CSUR), 52(6):1–36.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Random graph modeling: A survey of the concepts.ACM computing surveys (CSUR), 52(6):1–36

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.927281Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88a019e1-f0d3-468e-ad71-5818cdc22431 · outbound

This paper cites Cambridge university press, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Cambridge university press, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.925376Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43081cc6-35fb-4266-9151-ab5ea2ee9693 · outbound

This paper cites An exceeding recovery model for enhancing network resilience against cascading failures.IEEE Access, 10:71035–71043, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs An exceeding recovery model for enhancing network resilience against cascading failures.IEEE Access, 10:71035–71043, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.934570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f7db22f-f8a3-48be-bb3c-a6807836d011 · outbound

This paper cites Modified erd ˝os–r´enyi random graph model for generating synthetic power grids.IEEE Systems Journal, 18(1):96–107, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Modified erd ˝os–r´enyi random graph model for generating synthetic power grids.IEEE Systems Journal, 18(1):96–107, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.916116Z

Source-reported events for the cited work

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Observation a1a806b9-3757-480d-aa2c-3d6b39d7923f · outbound

This paper cites Emergence of scaling in random networks.science, 286(5439):509–512, 1999.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Emergence of scaling in random networks.science, 286(5439):509–512, 1999

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.917899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd6ed83c-6964-4273-bed2-e73ada41c831 · outbound

This paper cites Preferential attachment and variants.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Preferential attachment and variants

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.865783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ecfa6f7-f444-4c50-a7ea-2ddac0d3c498 · outbound

This paper cites Collective dynamics of ‘small- world’networks.nature, 393(6684):440–442, 1998.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Collective dynamics of ‘small- world’networks.nature, 393(6684):440–442, 1998

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.910908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 614b9beb-e285-4b20-a1a5-b7463f3da3b1 · outbound

This paper cites An improved textrank keyword extraction method based on the watts-strogatz model.Inf.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs An improved textrank keyword extraction method based on the watts-strogatz model.Inf

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.896436Z

Source-reported events for the cited work

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Observation dc440153-de5f-4f26-a6dd-9755ef073821 · outbound

This paper cites A review: Multi protocol label switching (mpls).International Journal of Engineering Research and Applications, 4(1):66–70, 2014.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs A review: Multi protocol label switching (mpls).International Journal of Engineering Research and Applications, 4(1):66–70, 2014

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.914378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a4274db-e267-48d3-8c92-f61afae290cf · outbound

This paper cites Recent trends in mpls networks: technologies, applications and challenges.IET Communications, 14(2):177–185, 2020.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Recent trends in mpls networks: technologies, applications and challenges.IET Communications, 14(2):177–185, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.835548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 969e8bf7-8e9d-491b-af62-11e4e238b1d9 · outbound

This paper cites Magnneto: A graph neural network-based multi-agent system for traffic engineering.IEEE Transactions on Cognitive Communications and Networking, 9(2):494–506, 2023.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Magnneto: A graph neural network-based multi-agent system for traffic engineering.IEEE Transactions on Cognitive Communications and Networking, 9(2):494–506, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.909139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8df25ef0-960b-4252-b098-db3d8337c944 · outbound

This paper cites Mpls traffic engineering in ospf networks—a combined approach.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Mpls traffic engineering in ospf networks—a combined approach

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.936253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67fea561-b097-4192-aefc-1c9b89912d68 · outbound

This paper cites A review-analysis of network topologies for microen- terprises.Small, 3:15–000, 2016.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs A review-analysis of network topologies for microen- terprises.Small, 3:15–000, 2016

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51da3a03-48ca-417e-8c8a-6d5a0fbda599 · outbound

This paper cites Graph neural networks: A review of methods and applications.AI Open, 1:57– 81, 2020.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Graph neural networks: A review of methods and applications.AI Open, 1:57– 81, 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24055758-5a71-45c7-a896-a57c3fc9e675 · outbound

This paper cites Internet traffic engineering using multi-protocol label switching (mpls).Computer Networks, 40(1):111– 129, 2002.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Internet traffic engineering using multi-protocol label switching (mpls).Computer Networks, 40(1):111– 129, 2002

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54f98708-95d3-4924-a666-d5e653cca42b · outbound

This paper cites Label switched protocol routing with guaranteed bandwidth and end to end path delay in mpls networks.Journal of Network and Computer Applications, 42:21–38, 2014.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Label switched protocol routing with guaranteed bandwidth and end to end path delay in mpls networks.Journal of Network and Computer Applications, 42:21–38, 2014

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 997d11be-dd63-45d0-b9e9-eb494a34dd48 · outbound

This paper cites Cisco press, 2001.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Cisco press, 2001

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.923568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed98e0f4-1459-451d-a39b-5ebf97ad72d1 · outbound

This paper cites Design and Investigation of Bandwidth Management Technique for Service-Aware Traffic Engineering using Internet Protocol/Multi- Protocol Label Switching (IP/MPLS) for 5G.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Design and Investigation of Bandwidth Management Technique for Service-Aware Traffic Engineering using Internet Protocol/Multi- Protocol Label Switching (IP/MPLS) for 5G

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb3a8b8f-f3b2-44c6-b051-8ff798bb554c · outbound

This paper cites Anjali, C.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Anjali, C

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1eb239e-3d63-4e14-a24f-995c99ca7866 · outbound

This paper cites Survey of graph neural networks and applications.Wireless Communi- cations and Mobile Computing, 2022(1):9261537, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Survey of graph neural networks and applications.Wireless Communi- cations and Mobile Computing, 2022(1):9261537, 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48ca9168-c8e5-4151-9a31-b699d28a3d27 · outbound

This paper cites Graph neural networks for intelligent modelling in network man- agement and orchestration: a survey on communications.Electronics, 11(20):3371, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Graph neural networks for intelligent modelling in network man- agement and orchestration: a survey on communications.Electronics, 11(20):3371, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.891469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f70f9f6-540c-4c4a-80cf-6ac901c7ba16 · outbound

This paper cites Dampnn: Dynamic adaptive message passing neural network for industrial soft sensor.IEEE Transactions on Industrial Informatics, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Dampnn: Dynamic adaptive message passing neural network for industrial soft sensor.IEEE Transactions on Industrial Informatics, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.893172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41772ece-c632-4991-b903-058a0e757423 · outbound

This paper cites Traffic-aware lightweight hierarchical offloading toward adaptive slicing- enabled sagin.IEEE Journal on Selected Areas in Communications, 42(12):3536–3550, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Traffic-aware lightweight hierarchical offloading toward adaptive slicing- enabled sagin.IEEE Journal on Selected Areas in Communications, 42(12):3536–3550, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.900198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04abb7bb-bde6-45a1-b430-8fd38aa1f3af · outbound

This paper cites Graph neural network based resource allocation for full-duplex device-to-device communication.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Graph neural network based resource allocation for full-duplex device-to-device communication

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.901944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b364370a-6eb8-4229-8e43-13f610395fb3 · outbound

This paper cites Building a digital twin for network optimization using graph neural networks.Computer Networks, 217:109329, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Building a digital twin for network optimization using graph neural networks.Computer Networks, 217:109329, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.841377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d0fe284-5ea2-4276-8bae-dcb11a297b05 · outbound

This paper cites Empowering digital twin for future networks with graph neural networks: Overview, enabling technologies, chal- lenges, and opportunities.Future internet, 15(12):377, 2023.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Empowering digital twin for future networks with graph neural networks: Overview, enabling technologies, chal- lenges, and opportunities.Future internet, 15(12):377, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.880920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b06a103-e5e3-48d9-a9d5-57764a341c34 · outbound

This paper cites Inference of sim- ulation models in digital twins by reinforcement learning.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Inference of sim- ulation models in digital twins by reinforcement learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.884372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2b62c13-7161-44c0-b3e5-db0047286a71 · outbound

This paper cites Deep learning for hybrid 5g services in mobile edge computing systems: Learn from a digital twin.IEEE Transactions on Wireless Communications, 18(10):4692–4707, 2019.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Deep learning for hybrid 5g services in mobile edge computing systems: Learn from a digital twin.IEEE Transactions on Wireless Communications, 18(10):4692–4707, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.867766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35c6ec0c-98af-4501-80b8-d78a594a4bdb · outbound

This paper cites Digital twins from a networking perspective.IEEE Internet of Things Journal, 9(23):23525– 23544, 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Digital twins from a networking perspective.IEEE Internet of Things Journal, 9(23):23525– 23544, 2022

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.871645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 782681e7-111f-4119-a5ac-09b599c89375 · outbound

This paper cites A novel dynamic software-defined networking approach to neutralize traffic burst.Computers, 12(7):131, 2023.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs A novel dynamic software-defined networking approach to neutralize traffic burst.Computers, 12(7):131, 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.873444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 655307bb-63c5-4646-9cbc-9d20a7784e0a · outbound

This paper cites A deep reinforcement learning approach for adaptive traffic routing in next-gen networks.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs A deep reinforcement learning approach for adaptive traffic routing in next-gen networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.877192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a30644c2-bde3-41c7-9262-ae2ee87d3053 · outbound

This paper cites Dqqs: Deep reinforcement learning-based technique for enhancing security and performance in sdn- iot environments.IEEE Access, 12:60568–60587, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Dqqs: Deep reinforcement learning-based technique for enhancing security and performance in sdn- iot environments.IEEE Access, 12:60568–60587, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.887885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85080bdb-c2c6-43b6-8d68-7a39fccba8de · outbound

This paper cites Dynamic routing optimization in software-defined networking based on a metaheuristic algorithm.Journal of Cloud Computing, 13(1):41, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Dynamic routing optimization in software-defined networking based on a metaheuristic algorithm.Journal of Cloud Computing, 13(1):41, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.903691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f828d6f5-65d2-4a27-ae9d-4a81def2e0b1 · outbound

This paper cites Rs-maddpg: Routing strategy based on multi-agent deep deterministic policy gradient for differentiated qos services.Future Internet, 17(9):393, 2025.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Rs-maddpg: Routing strategy based on multi-agent deep deterministic policy gradient for differentiated qos services.Future Internet, 17(9):393, 2025

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.938105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c42c75ca-95e4-4715-b474-f3354580d078 · outbound

This paper cites Congestion control mechanism based on backpressure feedback in data center networks.Future Internet, 16(4):131, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Congestion control mechanism based on backpressure feedback in data center networks.Future Internet, 16(4):131, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.854691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 077fad83-d213-4ac1-9e45-ce420ef1f42d · outbound

This paper cites Effectively handling network congestion and load balancing in software-defined networking.Computers, Materials & Continua, 70(1), 2022.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Effectively handling network congestion and load balancing in software-defined networking.Computers, Materials & Continua, 70(1), 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.907285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1bdd1c8-2781-4364-b2e7-bcfd30859465 · outbound

This paper cites Kanellopoulos, Varun Kumar Sharma, Poulami Dalapati, and Oliver P.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Kanellopoulos, Varun Kumar Sharma, Poulami Dalapati, and Oliver P

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.859579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f8cb0b9-8032-4408-94e3-b33b0d5052af · outbound

This paper cites In-network machine learning using programmable network devices: A survey.IEEE Communications Surveys & Tutorials, 26(2):1171–1200, 2024.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs In-network machine learning using programmable network devices: A survey.IEEE Communications Surveys & Tutorials, 26(2):1171–1200, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.861940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation faee3d5f-1099-4203-a6ab-e2d93333d67e · outbound

This paper cites Deploying secure distributed systems: Comparative analysis of gns3 and seed internet emulator.Journal of Cybersecurity and Privacy, 3(3):464–492, 2023.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Deploying secure distributed systems: Comparative analysis of gns3 and seed internet emulator.Journal of Cybersecurity and Privacy, 3(3):464–492, 2023

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.846870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ef9dea2-39ad-4c13-8327-f9949e2bc73e · outbound

This paper cites Framework for integrating machine learning methods for path-aware source routing.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Framework for integrating machine learning methods for path-aware source routing

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:25:59.845016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers