Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment | Paper Citation Record

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This paper cites Adams, E.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Adams, E

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment On the bottleneck of graph neural networks and its practical implications

Reference 2

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This paper cites Applegate and W.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Applegate and W

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A markovian decision process

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Machine learning for combinatorial optimization: A methodological tour d’horizon

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This paper cites The disjunctive graph machine representation of the job shop scheduling problem.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The disjunctive graph machine representation of the job shop scheduling problem

Reference 6

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This paper cites Boussa\" i d, J.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Boussa\" i d, J

Reference 7

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This paper cites How attentive are graph attention networks? In International Conference on Learning Representations, 2022.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment How attentive are graph attention networks? In International Conference on Learning Representations, 2022

Reference 8

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This paper cites Khalil, Andrea Lodi, Christopher Morris, and Petar Veličković.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Khalil, Andrea Lodi, Christopher Morris, and Petar Veličković

Reference 9

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The application/json Media Type for JavaScript Object Notation (JSON)

Reference 10

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 11

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Graph neural networks are dynamic programmers

Reference 12

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 13

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Design patterns: elements of reusable object-oriented software

Reference 14

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Schoenholz, Patrick F

Reference 16

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment On embeddings for numerical features in tabular deep learning

Reference 17

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This paper cites Gupta and A.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Gupta and A

Reference 18

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This paper cites Harris, K.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Harris, K

Reference 19

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A survey of priority rule-based scheduling

Reference 20

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This paper cites Deep Residual Learning for Image Recognition.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Deep Residual Learning for Image Recognition

Reference 21

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Residual scheduling: A new reinforcement learning approach to solving job shop scheduling problem, 2023

Reference 22

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Efficient dispatching rules for scheduling in a job shop

Reference 23

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Stinchcombe, and Halbert L

Reference 24

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Imitation learning: a survey of learning methods

Reference 25

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Learning to solve job shop scheduling under uncertainty

Reference 26

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Kingma and Jimmy Ba

Reference 29

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Kipf and Max Welling

Reference 30

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Korte and J

Reference 31

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Cp-sat primer - under the hood, 2024

Reference 32

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Lawrence

Reference 33

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Deep learning

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Imitation learning for real-time job shop scheduling using graph-based representation

Reference 35

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Graph-based imitation learning for real-time job shop dispatcher

Reference 36

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment

Reference 37

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Pep 585 -- type hinting generics in standard collections

Reference 38

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Liao and C

Reference 39

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Asynchronous Methods for Deep Reinforcement Learning

Reference 41

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Muth and G.L

Reference 42

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 43

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Ng, Daishi Harada, and Stuart J

Reference 44

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

Reference 45

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Reference 46

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Cp-sat, 2024

Reference 47

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Surgical case scheduling as a generalized job shop scheduling problem

Reference 48

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Pomerleau

Reference 49

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Stable-baselines3: Reliable reinforcement learning implementations

Reference 50

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Chapter 1 - introduction

Reference 52

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Rumelhart, G.E

Reference 53

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A Survey on Oversmoothing in Graph Neural Networks

Reference 54

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Sarfaraj, Md

Reference 55

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The graph neural network model

Reference 56

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Observation ed756f9c-eb2d-426d-a551-7992b438cb5a · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.322550Z

Source-reported events for the cited work

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

Observation ac554b0d-c1eb-4b11-8b2b-8136898a2ae7 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.573089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903ad145-8f92-44c5-83e0-7eb910251ebc · outbound

This paper cites Proximal Policy Optimization Algorithms.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Proximal Policy Optimization Algorithms

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.578398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 803c3f0a-3dde-472c-93ee-81069f358b96 · outbound

This paper cites Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, and Wim Nuijten.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, and Wim Nuijten

Reference 60

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:10:27.291847Z

Source-reported events for the cited work

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

Observation 9acc56e6-fb90-4769-aae4-9ed858360de9 · outbound

This paper cites Flexible job shop scheduling via graph neural network and deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Flexible job shop scheduling via graph neural network and deep reinforcement learning

Reference 61

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:10:27.207049Z

Source-reported events for the cited work

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

Observation 32f56829-58dd-4863-b25f-2878e59d062b · outbound

This paper cites Storer, S.D.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Storer, S.D

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.305861Z

Source-reported events for the cited work

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

Observation 2e52e8d6-da12-4b63-b295-54583c7ad0dd · outbound

This paper cites Sutton and Andrew G.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Sutton and Andrew G

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.599890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baaf86b7-b7ae-4deb-a1ee-caff92f49887 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Policy gradient methods for reinforcement learning with function approximation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.278512Z

Source-reported events for the cited work

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

Observation 6c940ffb-38a7-4e2b-99f6-af2bb11ddcb7 · outbound

This paper cites Taillard.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Taillard

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.260567Z

Source-reported events for the cited work

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

Observation 00443908-4720-416f-a685-60aaa7dd0211 · outbound

This paper cites A reinforcement learning environment for job-shop scheduling, 2021.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A reinforcement learning environment for job-shop scheduling, 2021

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.241958Z

Source-reported events for the cited work

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

Observation 7836eb60-5a66-429a-a73f-bce110bf4c91 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.621783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0db81fcf-d0a8-4494-b22c-e9290ed6993b · outbound

This paper cites Attention is all you need.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Attention is all you need

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.626763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd72005-ffb8-424d-acef-aa3548a6906e · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:28.212559Z

Source-reported events for the cited work

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

Observation f66cd75a-43e4-49f0-ad8e-c8fb3e5eaef3 · outbound

This paper cites Graph attention networks, 2018.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Graph attention networks, 2018

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.636546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc5b467-773a-4967-887b-8d5502c17b27 · outbound

This paper cites Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.641387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875cbe08-3db5-4c7a-8d2d-215f6e11be7f · outbound

This paper cites JSSP instances and results.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment JSSP instances and results

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.181926Z

Source-reported events for the cited work

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

Observation 18c19f49-8837-4d65-9b57-9180ae9364e2 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:10:28.160323Z

Source-reported events for the cited work

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

Observation e4f7d868-f47d-4023-b55f-0ddc3abf256e · outbound

This paper cites The future of jobs report 2023.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment The future of jobs report 2023

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.141473Z

Source-reported events for the cited work

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

Observation 7f78654c-03ef-45a3-b112-79e30aa2008b · outbound

This paper cites A survey of job shop scheduling problem: The types and models.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A survey of job shop scheduling problem: The types and models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.124107Z

Source-reported events for the cited work

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

Observation 1b52a4e6-b2e1-495b-ae0f-44780fb2cccb · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations, 2019.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment How powerful are graph neural networks? In International Conference on Learning Representations, 2019

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.667996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a34a6b5-b874-44fc-805d-0300e5763517 · outbound

This paper cites Yamada and R.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Yamada and R

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.096386Z

Source-reported events for the cited work

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

Observation 6c1031d8-12ac-4b2e-b215-daf75bdcde53 · outbound

This paper cites an unresolved cited work.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.680130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7f8cde-b8ff-4b25-8d55-f6fb18eaf352 · outbound

This paper cites Solving job shop scheduling problems via deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Solving job shop scheduling problems via deep reinforcement learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:26.684897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6e44aa-445c-44e7-b45c-664f7706063a · outbound

This paper cites Learning to dispatch for job shop scheduling via deep reinforcement learning.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Learning to dispatch for job shop scheduling via deep reinforcement learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.079066Z

Source-reported events for the cited work

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

Observation f6373cc0-04a0-4621-a17e-f809dab8bcf0 · outbound

This paper cites A review on learning to solve combinatorial optimisation problems in manufacturing.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A review on learning to solve combinatorial optimisation problems in manufacturing

Reference 81

Resolution: verified exact; doi, observed 2026-08-07T05:10:26.746702Z

Source-reported events for the cited work

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

Observation 2a34fea8-b9e1-48a5-a854-fdacd5af0e67 · outbound

This paper cites A constraint program for solving the job-shop problem.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment A constraint program for solving the job-shop problem

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.060697Z

Source-reported events for the cited work

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

Observation d3a4c2c0-9526-4cb2-af80-b61f4dda6238 · outbound

This paper cites Pep 604 -- allow writing union types as x | y.

Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment Pep 604 -- allow writing union types as x | y

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:10:28.038698Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers