Reviews: A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

I recommend acceptance of this article subject to some corrections. The novelty of considering data poisoning in GSSL can be interesting for the NeurIPS community. The results presented here are founded by theoretical results and experiments are conducted. It opens new lines of research and can trigger new results. Because the paper has several weak points, we insist on the importance to handle the following comments. However, the overall structure of the presentation is acceptable.