Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem"
☆30Jun 13, 2025Updated 10 months ago
Alternatives and similar repositories for TBGAT
Users that are interested in TBGAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"☆70Feb 23, 2025Updated last year
- ☆27Mar 10, 2026Updated last month
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆21Nov 16, 2024Updated last year
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆50Dec 3, 2025Updated 4 months ago
- Neural Destruction Search for Vehicle Routing Problems☆18Oct 6, 2025Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆32Dec 3, 2025Updated 4 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆41Apr 6, 2025Updated last year
- ☆25Dec 11, 2022Updated 3 years ago
- ☆22Jun 28, 2024Updated last year
- Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problem…☆16Feb 11, 2025Updated last year
- ☆29Nov 5, 2023Updated 2 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆73Jul 2, 2025Updated 9 months ago
- Self-Labeling the Job Shop Scheduling Problem☆21Jun 26, 2024Updated last year
- PyTorch code for the NAR4TSP.☆28Oct 31, 2024Updated last year
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆47Apr 30, 2025Updated 11 months ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆30Jan 22, 2026Updated 2 months ago
- ☆91Mar 26, 2026Updated 3 weeks ago
- The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)☆17Apr 5, 2024Updated 2 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
- The official implementation of Convergent Graph Solvers (CGS)☆21Feb 1, 2022Updated 4 years ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆53Jul 24, 2024Updated last year
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Jul 12, 2024Updated last year
- [AAAI 2026] TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution☆16Aug 1, 2025Updated 8 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆25May 15, 2024Updated last year
- The collection of my research papers' illustrations.☆20Oct 15, 2023Updated 2 years ago
- Next-generation scheduling problem solver based on GNNs and Reinforcement Learning☆78Sep 4, 2025Updated 7 months ago
- ☆135Nov 7, 2022Updated 3 years ago
- [ICLR 2026] Neural Combinatorial Optimization for Real-World Routing☆29Feb 27, 2026Updated last month
- multi-task learning for routing problem☆24Dec 2, 2025Updated 4 months ago
- ☆25Oct 25, 2023Updated 2 years ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆45Jun 21, 2024Updated last year
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆376Aug 31, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Representing CP problems as graphs☆22Dec 18, 2024Updated last year
- [ICLR 2025] Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling☆19Oct 20, 2025Updated 5 months ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆12Oct 9, 2023Updated 2 years ago
- OptiML's contribution to the EURO meets NeurIPS 2022 vehicle routing competition.☆17Dec 7, 2022Updated 3 years ago
- [ICLR 2025] Graph Assisted Offline-Online Deep Reinforcement Learning (GOODRL) for Dynamic Workflow Scheduling (DWS)☆24Feb 24, 2025Updated last year
- ☆43Nov 17, 2023Updated 2 years ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆96May 28, 2025Updated 10 months ago