Abstract: A data processing module for aligning entities between a first knowledge graph (KG1) and a second knowledge graph (KG2) includes an encoder to embed each entity node of KG1 and KG2 to generate a basic entity representation of each knowledge graph. An aggregator generates a relation representation of each knowledge graph using a first graph attention mechanism; generates an entity embedding including the relation representation using a second graph attention mechanism; concatenates the entity embedding including the relation representation with the basic entity representation to generate a relation-aware entity representation of each knowledge graph; and generates an enhanced entity representation of each knowledge graph comprising a single vector for each embedded entity node using a third graph attention mechanism. A comparator compares each node of the enhanced entity representation of KG1 with each node of the enhanced entity representation of KG2 to generate a similarity matrix between KG1 and KG2.

Abstract: Disclosed are a slow-release inhibitor for high-magnesium sulfide mineral flotation and an application thereof, where the inhibitor is a nano colloidal particle of an alkaline earth fluoride such as CaF2 and BaF2 or a highly-reactive natural alkaline earth metal mineral powder. When applied to the flotation separation of a high-magnesium sulfide ore, the inhibitor can slowly release F ions to preferentially form a MgF2 layer on the magnesium-containing mineral surface, which provides a structure similar to MgF2 on a surface of oxidized gangue minerals such as magnesium oxide, changing surface electrical property of the magnesium-containing mineral, inhibiting heterogeneous coagulation of magnesium-containing minerals and sulfide ores due to electrostatic attraction and reducing entrainment, enveloping and agglomeration of gangue minerals to efficiently inhibit the flotation of oxidized gangue minerals such as magnesium oxide.

Abstract: A method, system, apparatus and a non-transitory computer-readable medium storing instruction thereon is provided for predicting a probability of a synergistic effect between a combination of drugs in the treatment of, for example, a complex disease, such as cancer, through the application of an end-to-end deep learning framework based on a protein-protein interaction (PPI) network, drug-protein associations and cell line-protein associations.

Abstract: Disclosed are a slow-release inhibitor for high-magnesium sulfide mineral flotation and an application thereof, where the inhibitor is a nano colloidal particle of an alkaline earth fluoride such as CaF2 and BaF2 or a highly-reactive natural alkaline earth metal mineral powder. When applied to the flotation separation of a high-magnesium sulfide ore, the inhibitor can slowly release F ions to preferentially form a MgF2 layer on the magnesium-containing mineral surface, which provides a structure similar to MgF2 on a surface of oxidized gangue minerals such as magnesium oxide, changing surface electrical property of the magnesium-containing mineral, inhibiting heterogeneous coagulation of magnesium-containing minerals and sulfide ores due to electrostatic attraction and reducing entrainment, enveloping and agglomeration of gangue minerals to efficiently inhibit the flotation of oxidized gangue minerals such as magnesium oxide.