Reviews: Retrosynthesis Prediction with Conditional Graph Logic Network

Positives: The paper is well organized, with each section clearly defined and good use of notation to clearly mark research objectives and contributions made by the authors. The introduction sets up the contributions clearly, and the background/method sections manage to cover a lot of material with varying degrees of success. The figures/graphics provided by the paper also do a good job of expressing what the machine learning task that is being solved is and the proposed solution as it relates to retrosynthesis. The authors focus on a specific ML task, retrosynthesis, is also refreshing as it's applications in the industry are clear. The mathematical equations provide a means to implement the model as well, this also extends to descriptions for the model including layers and optimization functions.