Alternatives and similar repositories for gcn_pytorch:

Users that are interested in gcn_pytorch are comparing it to the libraries listed below

• xiangni / DREAM
  Deep reinforcement learning for REsource Allocation in streaM processing
  ☆29Updated last year
• LukeLee233 / DRL_GCN_CVRP
  An implementation for CVRP problem with A3C+Attention mechanism and GCN
  ☆17Updated 4 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• zhongyuanzhao / distgcn
  Link Scheduling using Graph Neural Networks, IEEE TWC
  ☆33Updated last year
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆99Updated last year
• tsoernes / dca
  Dynamic channel allocation in cellular networks by reinforcement learning
  ☆17Updated 2 years ago
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆26Updated 4 years ago
• bjoluc / gymwipe
  OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops
  ☆13Updated 4 years ago
• hongyanz / Stackelberg-GAN
  Codes for Stackelberg GAN
  ☆13Updated 5 years ago
• MilesCranmer / gnn_resource_allocation
  Code for our paper on doing resource allocation with graph neural networks
  ☆30Updated 3 years ago
• cwfparsonson / ddls
  Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.
  ☆14Updated 2 years ago
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆32Updated 7 years ago
• lyeskhalil / CORL
  ☆24Updated 2 years ago
• davidkerkkamp / DQN-GNN
  Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets
  ☆15Updated 3 years ago
• kshitija2 / Interactive-Multi-objective-Reinforcement-Learning
  Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …
  ☆21Updated 6 years ago
• caogang / WlanDqn
  A dqn application for using in wlan
  ☆17Updated 7 years ago
• mail-ecnu / VMAgent
  Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
  ☆89Updated last year
• skumar9876 / FCRL
  Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
  ☆38Updated 6 years ago
• JennyQQL / DeepClusterADMM-Release
  An implementation of DeepCluster optimized by ADMM.
  ☆23Updated 7 years ago
• netx-repo / neuroplan
  ☆90Updated last year
• mylzwq / LoadBalanceControl-RL
  Using Reinforcement Learning method to realize load balancing control in dynamic cellular network
  ☆11Updated 6 years ago
• vyokky / ZipNet-GAN-traffic-inference
  ☆17Updated 5 years ago
• nathangrinsztajn / DAG-scheduling
  ☆21Updated 3 years ago
• Autumncow / Order-dispatch
  ☆23Updated 2 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆13Updated 5 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆47Updated last year
• rh01 / deeprm
  Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practica…
  ☆12Updated 5 years ago
• GIS-PuppetMaster / Auto-STGCN
  source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Exis…
  ☆11Updated 4 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• ralthor / Scheduler
  multi-workflow scheduling
  ☆10Updated 3 years ago