Before revision:  We then leverage the pre-trained GROVER to downstream molecular property prediction tasks followed by task-specific fine-tuning, where we observe a huge improvement (more than 6\% on average) over current state-of-the-art methods on 11 challenging benchmarks.
After revision:  We then leverage the pre-trained GROVER for molecular property prediction tasks followed by task-specific fine-tuning, where we observe a huge improvement (more than 6\% on average) over current state-of-the-art methods on 11 challenging benchmarks.