Materials informatics and cheminformatics are scientific disciplines aiming to process and derive meaningful chemical and physical insights from correlations between the structures and properties of compounds and materials. One key feature of these approaches is their capacity to rapidly extract statistically significant relationships from constructed databases using data science techniques. These methodologies have achieved success in fields such as drug discovery and inorganic material exploration. They enable the efficient extraction of molecules with significant pharmacological activity from a vast pool of candidate substances. Moreover, in materials science, analyses of large databases have led to the discovery of new luminescent molecules, ion conductors, heat conductors, and novel alloys. However, the application of materials informatics in experimental projects faces an apparent problem of data insufficiency. Unlike in the field of biology, where large, standardized databases are available, such databases are not necessarily present in materials science. This discrepancy can be attributed to a variety of factors. First, the desired material properties span a wide range. Secondly, a unified format for uniquely describing material structures is lacking. Lastly, a standard platform for sharing this data does not always exist. As a result, the number of entries in these databases often remains in the tens. A well-known theorem in statistics further illustrates the predicament, the "Ugly Duckling" theorem, which suggests that informatics with small-scale data is exceptionally challenging. This theorem posits that tasks like pattern recognition, classification, and regression are impossible without certain assumptions or prior knowledge. For instance, in the tale of the "Ugly Duckling," the judgment that the black duckling is ugly arises from prior exposure to a large dataset -namely, the common knowledge that typical ducklings are yellow. A person, or an AI, who has only seen two or three ducklings would not be able to judge that the black duckling is ugly.