Kaichun Yao

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

2023

Recent years have witnessed the rapid development of heterogeneous graph neural networks (HGNNs) in information retrieval (IR) applications. Many existing HGNNs design a variety of tailor-made graph convolutions to capture structural and semantic information in …