Heterogeneous graphs contain multiple types of entities and relations, which are capable of modeling complex interactions. Embedding on heterogeneous graphs has become an essential tool for analyzing ...

We implement a graph convolutional network to learn from MMRGs, and the learned latent features are used to predict drug-target affinity. The experiment results on the Davis and KIBA dataset report ...

Recent research evidence has shown the importance of different psychological constructions for analyzing problems associated with lack of adequate behavior management in human beings. The model of the ...

Hi, I'm currently working on re-implementing the GraphRAG paper and had some questions regarding the construction of the lowest-level graph from document chunks. How exactly are entities and relations ...