RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes | Paper Citation Record

Observation edffa007-f972-481c-ab79-d8c7f39a7141 · outbound

This paper cites Discovering hierarchical multi-instance business processes from event logs,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Discovering hierarchical multi-instance business processes from event logs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.491351Z

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 d41499f1-26b3-4f5a-bb1e-b8f41ae5a310 · outbound

This paper cites Processgpt: transforming business process management with generative artificial intelligence,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Processgpt: transforming business process management with generative artificial intelligence,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.479491Z

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 fc50a63b-0a1f-4815-8779-e1f547142ff8 · outbound

This paper cites Proactive resource management for cloud of services envi- ronments,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Proactive resource management for cloud of services envi- ronments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.468198Z

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 0f8e0aef-1128-43f6-94f7-0e59778570a9 · outbound

This paper cites Time and activity sequence prediction of business process instances,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Time and activity sequence prediction of business process instances,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.456830Z

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 0dfd02a1-cc6f-40b2-b83a-b32553e5e7ad · outbound

This paper cites A rule- based recommendation approach for business process modeling,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A rule- based recommendation approach for business process modeling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.445530Z

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 1ad80825-f758-48e7-8f0e-60ed10130d8e · outbound

This paper cites Probability based heuristic for pre- dictive business process monitoring,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Probability based heuristic for pre- dictive business process monitoring,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.434454Z

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 792545cd-78d2-419c-8be1-382975d59737 · outbound

This paper cites A markov prediction model for data-driven semi-structured business processes,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A markov prediction model for data-driven semi-structured business processes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.423124Z

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 3e759064-a932-4a24-b564-aca3b180c1ad · outbound

This paper cites Leveraging shallow machine learning to predict business process behavior,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Leveraging shallow machine learning to predict business process behavior,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.411966Z

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 37b0c318-d218-410b-a2d5-ea6b3019ff2a · outbound

This paper cites An empirical comparison of classification techniques for next event prediction using business process event logs,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes An empirical comparison of classification techniques for next event prediction using business process event logs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.401000Z

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 666be01b-64b5-474a-a286-04ccc8ff8554 · outbound

This paper cites Predictive business process monitoring with lstm neural networks,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Predictive business process monitoring with lstm neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.389535Z

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 cfeb9231-9f9f-4ceb-891a-3348bf3a5315 · outbound

This paper cites Learning accurate lstm models of business processes,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Learning accurate lstm models of business processes,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.378378Z

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 a4dcc940-f24b-41a4-8194-4e625493cde5 · outbound

This paper cites Next activity prediction of ongoing business processes based on deep learning,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Next activity prediction of ongoing business processes based on deep learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.366941Z

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 225fd094-3591-4eb9-bd35-17870620935c · outbound

This paper cites ProcessTransformer: Predictive Business Process Monitoring with Transformer Network.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes ProcessTransformer: Predictive Business Process Monitoring with Transformer Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:37.870552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f95dc9-dbba-4de1-891d-a2ae34ab7449 · outbound

This paper cites Ham-net: Predictive business process monitoring with a hierarchical attention mechanism,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Ham-net: Predictive business process monitoring with a hierarchical attention mechanism,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.355569Z

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 80b66956-74ca-487e-88a8-a56a56fc29aa · outbound

This paper cites A switch-transformer predic- tive process monitoring model for next activity prediction in business process management,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A switch-transformer predic- tive process monitoring model for next activity prediction in business process management,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.344480Z

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 c13c77a3-f3fb-4cd4-aa69-2e9ae97ac92c · outbound

This paper cites An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:37.881603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5604714a-5a97-405b-8c89-799ccf76f0fc · outbound

This paper cites Multi-task prediction method of business process based on bert and transfer learning,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Multi-task prediction method of business process based on bert and transfer learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.332767Z

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 d6fc4bbc-dcfe-4f86-8c4d-0668c874213e · outbound

This paper cites Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:37.888856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25ecaff-7859-4298-b245-0a46b02ba88a · outbound

This paper cites Improving predictive process monitoring through reachability graph-based masking of neural networks,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Improving predictive process monitoring through reachability graph-based masking of neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.321523Z

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 ce1d9d0f-29ed-4950-9c8a-649a28c06b05 · outbound

This paper cites Adjacency matrix deep learning prediction model for prognosis of the next event in a process,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Adjacency matrix deep learning prediction model for prognosis of the next event in a process,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.310427Z

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 48a777e5-f4fd-44bf-a34d-7aa0c4ba6af3 · outbound

This paper cites A comparison of deep-learning methods for analysing and predicting business processes,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A comparison of deep-learning methods for analysing and predicting business processes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.298222Z

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 1b86d574-6bde-4013-bdc1-c8d158da4bfe · outbound

This paper cites Embedding graph convolutional networks in recurrent neural networks for predictive monitoring,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Embedding graph convolutional networks in recurrent neural networks for predictive monitoring,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.286658Z

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 17151cc3-677b-4632-aadf-3a164202c924 · outbound

This paper cites Exploiting instance graphs and graph neural networks for next activity prediction,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Exploiting instance graphs and graph neural networks for next activity prediction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.275328Z

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 896a503d-cf98-4547-abb6-b490e34be0b8 · outbound

This paper cites Multi- perspective enriched instance graphs for next activity prediction through graph neural network,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Multi- perspective enriched instance graphs for next activity prediction through graph neural network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.263782Z

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 f7c5e7c7-f78d-4e59-913e-5c6c5d49994d · outbound

This paper cites an unresolved cited work.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:27:38.252632Z

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 b3078331-f74a-40f7-bcc0-3c71e08c616c · outbound

This paper cites Process mining with the heuristics miner-algorithm,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Process mining with the heuristics miner-algorithm,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.241616Z

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 313e940c-1967-493d-889c-72d65b90cc7f · outbound

This paper cites Discov- ering block-structured process models from event logs - a constructive approach,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Discov- ering block-structured process models from event logs - a constructive approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.230092Z

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 0c39465e-74dd-47e3-a597-429f84a96b0a · outbound

This paper cites Process mining to forecast the future of running cases,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Process mining to forecast the future of running cases,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.219107Z

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 f640cc9e-615d-40f3-b6da-473a7f098c6d · outbound

This paper cites Leveraging path information to generate predictions for parallel business processes,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Leveraging path information to generate predictions for parallel business processes,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.207787Z

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 aa50331a-8ba0-4df1-a396-b93f67a3ab54 · outbound

This paper cites A hybrid model for business process event and outcome prediction,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A hybrid model for business process event and outcome prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.196354Z

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 87f1e237-9557-48d3-9ac7-5ca40b16e1db · outbound

This paper cites Activity prediction in process mining using the woman framework,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Activity prediction in process mining using the woman framework,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.184812Z

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 b3329f19-4e53-4cbd-9a68-464cf7886219 · outbound

This paper cites A direct data aware lstm neural network architecture for complete remaining trace and runtime prediction,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A direct data aware lstm neural network architecture for complete remaining trace and runtime prediction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.173237Z

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 5a2c29ce-2744-4d4b-9146-18301715c0ac · outbound

This paper cites Predictive business process monitoring approach based on hierarchical transformer,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Predictive business process monitoring approach based on hierarchical transformer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.161528Z

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 2287a660-9629-4f26-9b92-dd51b854d28b · outbound

This paper cites Mitfm: A multi-view information fusion method based on transformer for next activity prediction of business processes,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Mitfm: A multi-view information fusion method based on transformer for next activity prediction of business processes,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.150196Z

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 0a1a5718-ad87-460b-916d-1b5cb9d21182 · outbound

This paper cites A multi-view deep learning approach for predictive business process mon- itoring,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes A multi-view deep learning approach for predictive business process mon- itoring,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.137984Z

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 de4a4f1b-750c-4b76-a9e4-46c7b696115c · outbound

This paper cites Snap: semantic stories for next activity prediction,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Snap: semantic stories for next activity prediction,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.124725Z

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 32113eba-f677-4c3a-a334-fc1c0b1c408a · outbound

This paper cites Jarvis: Joining adversarial training with vision transformers in next-activity prediction,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Jarvis: Joining adversarial training with vision transformers in next-activity prediction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.112856Z

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 a3ef0dd6-3f2f-4fa4-9a68-f9773b3f1021 · outbound

This paper cites Enhancing predictive process monitoring with sequential graphs and trace atten- tion,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Enhancing predictive process monitoring with sequential graphs and trace atten- tion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.099681Z

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 2a563031-d16b-4a4a-bc70-0a9166a51fc2 · outbound

This paper cites Higpp: A history-informed graph-based process predictor for next activity,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Higpp: A history-informed graph-based process predictor for next activity,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.086808Z

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 40ac8e55-c222-43ac-a93c-0113867a23d2 · outbound

This paper cites Mhg-predictor: A multi-layer heterogeneous graph-based predictor for next activity in complex business processes,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Mhg-predictor: A multi-layer heterogeneous graph-based predictor for next activity in complex business processes,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.074852Z

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 60f4ea95-8f87-4929-ae4c-e6476ad36b8a · outbound

This paper cites Human-level control through deep reinforcement learning,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Human-level control through deep reinforcement learning,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:37.968136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9da78bc-c176-4dbe-8647-499db60bf9c7 · outbound

This paper cites Reinforcement learning algorithms: A brief survey,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Reinforcement learning algorithms: A brief survey,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:38.054295Z

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 8dad887f-caaa-40f6-a116-784343bc437e · outbound

This paper cites Inductive representation learning on large graphs,.

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes Inductive representation learning on large graphs,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:37.974696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers