METHOD AND SYSTEM FOR LEARNING NOVEL RELATIONSHIPS AMONG VARIOUS BIOLOGICAL ENTITIES

摘要

A computer-implemented method of learning novel relationships among various entities, in particular biological entities such as chemicals, proteins, and diseases, comprises establishing a knowledge graph (100) wherein each of the entities is represented as a node (110) and each relationship between the entities is represented as an edge (120) between the respective nodes (110), and annotating entities in the knowledge graph (100) with objects (130) of one or more data modalities. A neural network system (200) is trained with the knowledge graph (100), wherein the neural network system (200) treats the knowledge graph (100) and the objects (130) of a respective one of the data modalities in a unified manner by jointly learning embeddings of the nodes (110) from the knowledge graph (100) and embeddings of the objects (130) of the respective one of the data modalities. The learned embeddings are used for identifying novel relationships among the entities.