GFlowNet library specialized for graph & molecular data
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Updated
Feb 3, 2025 - Python
GFlowNet library specialized for graph & molecular data
Generative Flow Networks - GFlowNet
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
A collection of deep reinforcement learning-based & GFlowNet drug molecule generators focused on generation of molecules using Graphs/SELFIES guided by modern retrosynthesis tools to increase synthetic accessibility of de-novo designed drugs.
Synthesis-oriented GFlowNets on large action space (ICLR 2025)
Code for the ICML 2024 paper 'GFlowNet Training by Policy Gradients'
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