Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).
☆28May 19, 2025Updated last year
Alternatives and similar repositories for gnn_scheduler
Users that are interested in gnn_scheduler are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw da…☆56Nov 24, 2020Updated 5 years ago
- ☆18Jun 30, 2023Updated 3 years ago
- This repository provides an OpenAI Gym-compatible environment for production scheduling tasks, designed to benchmark reinforcement learni…☆55Apr 28, 2026Updated 4 months ago
- A Python library for implementing and testing algorithm for Job-Shop Scheduling problem.☆33Apr 29, 2024Updated 2 years ago
- Materials for the Computer Science course, Digital Design (Logic Circuits)☆10Apr 25, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The code and data will be published after accepting our paper☆95Sep 7, 2022Updated 3 years ago
- Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"☆78Feb 23, 2025Updated last year
- Source code of The Integrated Inter-Terminal Truck Routing Problem with Multi-Port Berth Allocation and Yard Assignments: A Heuristic App…☆15May 28, 2022Updated 4 years ago
- A Gymnasium Environment for the Job Shop Problem Using the Disjunctive Graph Approach.☆29May 4, 2026Updated 4 months ago
- Genetic algorithm for the flexible job-shop scheduling problem☆27Oct 5, 2021Updated 4 years ago
- Computational intelligence approaches for solving the berth allocation problem.☆12Feb 26, 2025Updated last year
- This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.☆101Apr 9, 2021Updated 5 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph☆12Aug 2, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.☆12Aug 20, 2024Updated 2 years ago
- Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction☆12Aug 19, 2024Updated 2 years ago
- This project uses Deep Q-Network(DQN) for job shop scheduling in Reinforcement learning, and the information is taken from the public dat…☆24Dec 29, 2023Updated 2 years ago
- A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques☆12Aug 4, 2025Updated last year
- ☆349Feb 22, 2023Updated 3 years ago
- Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructu…☆13Dec 28, 2022Updated 3 years ago
- Datasets used in the paper "Reward hacking behavior can generalize across tasks"☆16Aug 17, 2025Updated last year
- A Gymnasium environment for simulating job scheduling in Apache Spark☆43Jan 9, 2024Updated 2 years ago
- ☆14Oct 29, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆389Aug 31, 2022Updated 4 years ago
- Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling☆41Apr 7, 2023Updated 3 years ago
- In this repo, GA, SA, and PSO algorithms are implemented to solve Job-shop Scheduling Problem(JSP) and Flexible Job-shop Scheduling Probl…☆35Oct 22, 2024Updated last year
- Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Sc…☆35Jun 13, 2025Updated last year
- Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation☆19Mar 23, 2024Updated 2 years ago
- AttentionDTA: drug--target binding affinity prediction by sequence-based deep learning with attention mechanism☆15Jan 27, 2022Updated 4 years ago
- Interface-aware molecular generative framework for protein-protein interaction modulators☆20Dec 22, 2024Updated last year
- A scoring function model based on 3D convolutional neural network for protein-ligand binding affinity prediction.☆17Oct 8, 2021Updated 4 years ago
- A template gymnasium environment for users to build upon☆24Oct 16, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [KI'22] Official implementation of the paper "Solving the Traveling Salesperson Problem with Precedence Constraints (TSPPC) by Deep Reinf…☆13Sep 19, 2022Updated 3 years ago
- ☆54Jul 22, 2021Updated 5 years ago
- Address the JSP problem through DRL, including mlp, gcn, transformer policies.☆10May 7, 2023Updated 3 years ago
- An OpenAi Gym environment for the Job Shop Scheduling problem.☆245May 20, 2025Updated last year
- An approach to using reinforcement learning techniques to optimize manufacturing processes.☆14Oct 13, 2019Updated 6 years ago
- Official codebase for "Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach", published at LION17 (17th L…☆34Jan 24, 2024Updated 2 years ago
- ☆15Sep 13, 2022Updated 3 years ago