awesome-ml4co
GNNPapers
| awesome-ml4co | GNNPapers | |
|---|---|---|
| 1 | 1 | |
| 1,472 | 15,568 | |
| 3.2% | 0.7% | |
| 6.7 | 0.0 | |
| 2 months ago | 5 months ago | |
| Python | ||
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-ml4co
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Application of Deep Reinforcement Learning for Operations Research problems
I’m currently the PI for a program which is using RL for a CO problem. This is a great resource to get started in the field. Feel free to DM me if 1) you have any questions or 2) you want job applying this approach to various problems.
GNNPapers
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[D] Masked Node Classification/Representation Learning for Graph Neural Networks
I recently stumbled upon this amazing resource, you might wanna take a look on the papers listed there to check if anything catches your eye. Sorry for not being more helpful!
What are some alternatives?
Awesome-Image-Inpainting - A curated list of image inpainting and video inpainting papers and resources
gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
ecole - Extensible Combinatorial Optimization Learning Environments
SeaPearl.jl - Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
ml4vrp - Geometric Deep Learning Models for Vehicle Routing Problem
awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
deep-finance - Datasets, papers and books on AI & Finance.