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Lists (6)
Starred repositories
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Pytorch Geometric Tutorials
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Platform for designing and evaluating Graph Neural Networks (GNN)
A curated list of awesome Deep Learning tutorials, projects and communities.
OpenAI Gym interfaces for multi-robot flocking problems
Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".
Generate embeddings from large-scale graph-structured data.
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Representation learning on large graphs using stochastic graph convolutions.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Representation learning on dynamic graphs using self-attention networks
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
A research library for automating experiments on Deep Graph Networks
🧮 A collection of resources to learn mathematics for machine learning
RLgraph: Modular computation graphs for deep reinforcement learning
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Graph Neural Network Library for PyTorch
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning