A curated list of graph reinforcement learning papers.
☆75Dec 27, 2021Updated 4 years ago
Alternatives and similar repositories for Graph-Reinforcement-Learning-Papers
Users that are interested in Graph-Reinforcement-Learning-Papers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61May 7, 2021Updated 5 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆17Jan 15, 2022Updated 4 years ago
- Graph convolutional memory for reinforcement learning☆24Jul 10, 2021Updated 5 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆84Apr 28, 2021Updated 5 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Multi-robot Reinforcement Learning Scalable Training School (MRST) is a training and evaluation platform for reinforcement learning rease…☆11Sep 6, 2022Updated 4 years ago
- ☆12Jan 31, 2024Updated 2 years ago
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆33Oct 25, 2022Updated 3 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- The code of Addgraph frame.☆22Sep 29, 2021Updated 5 years ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆19Apr 10, 2024Updated 2 years ago
- IJCAI 2022 Attributed Graph Clustering with Dual Redundancy Reduction☆15Oct 27, 2024Updated last year
- Python3 library able to connect the RLLIB framework with the SUMO simulator.☆27May 21, 2021Updated 5 years ago
- ☆17Dec 23, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The code implementation of HyGRAG, accepted by WWW'26.☆14Jun 15, 2026Updated 3 months ago
- ☆10Sep 4, 2021Updated 5 years ago
- ☆61Nov 15, 2022Updated 3 years ago
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆105Oct 22, 2022Updated 3 years ago
- ☆17Oct 10, 2021Updated 5 years ago
- code of Let the data choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-view Clustering☆17Feb 28, 2023Updated 3 years ago
- Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.☆10Nov 29, 2023Updated 2 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆19Jan 26, 2024Updated 2 years ago
- This project is lead by Dr Wei Shao☆15Nov 19, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Le…☆39Apr 27, 2022Updated 4 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆47Jun 13, 2022Updated 4 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆35Dec 22, 2017Updated 8 years ago
- Minimum Energy Resource Allocation Strategy with partial offloading☆10Jan 17, 2022Updated 4 years ago
- Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)☆20Dec 1, 2022Updated 3 years ago
- Attention based model for learning to solve different routing problems☆43Jun 21, 2022Updated 4 years ago
- The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framew…☆83Feb 7, 2024Updated 2 years ago
- DGN Code☆371Mar 25, 2023Updated 3 years ago
- A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…☆12Oct 13, 2019Updated 7 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.
- Federated Deep Reinforcement Learning for Swarm Robotic Systems☆10Jun 2, 2022Updated 4 years ago
- ☆17Aug 4, 2018Updated 8 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Nov 29, 2021Updated 4 years ago
- ☆13Mar 25, 2025Updated last year
- [DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)☆11Mar 20, 2023Updated 3 years ago
- ☆29Jul 12, 2022Updated 4 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆82Sep 18, 2024Updated 2 years ago