As mentioned, similarity-based compound networks such as CSNs allow the visualization of SAR patterns. To increase the number of practical applications of network-based chemical space representations and decrease biases in ML, it is necessary to incorporate amounts of data from chemical interactomes. In this regard, it is also necessary to improve network visualization to obtain reasonable representations of networks containing thousands of nodes. Addressing these difficulties will be useful in SAR analysis and drug repurposing.