Efficient Molecular Property Prediction using Recurrent Neural Networks

A heuristic approach using recurrent neural networks, specifically the gated recurrent unit (GRU), can achieve close to state-of-the-art results in molecular property prediction with 99+% fewer parameters than large graph-based or language models.