IB-Net's approach can be applied to other domains beyond Electronic Design Automation by leveraging its graph neural network framework and novel graph encoding techniques. For instance, in the field of cybersecurity, IB-Net could be utilized to enhance intrusion detection systems by predicting potential vulnerabilities or attack patterns based on network traffic data. Similarly, in healthcare, IB-Net could assist in medical diagnosis by analyzing patient data and predicting disease outcomes. The ability of IB-Net to model complex relationships within data and make informed decisions based on that information makes it versatile for various applications outside of Electronic Design Automation.