Microbial-disease association prediction has always been a frontier research direction in bioinformatics, which includes two tasks: predicting association relationships and association categories (Decrease, Increase). At present, The study methods based on statistical analysis rely heavily on biological prior knowledge, the traditional microbial experiments are time-consuming and costly. In this p...Show More
In knowledge graph completion (KGC), predicting triples involving emerging entities and/or relations, which are unseen when the KG embeddings are learned, has become a critical challenge. Subgraph reasoning with message passing is a promising and popular solution. Some recent methods have achieved good performance, but they (i) usually can only predict triples involving unseen entities alone, fail...Show More
