Kunal Mukherjee

Kunal Mukherjee, a postdoctoral research associate at Virginia Tech specializing in graph-based machine learning, discusses his innovative work on human-interpretable real estate recommendations. He highlights how the COVID-19 pandemic has transformed the real estate market, necessitating better recommendation systems. Kunal explains his graph neural network approach that not only recommends properties but also provides clear reasons for these suggestions. The conversation delves into the importance of regional context, the use of user co-click data, and the benefits of graph models over traditional methods.