Advith Chegu

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning

Digraph Representation Learning aims to learn representations for directed homogeneous graphs (digraphs). Prior work is largely constrained or has poor generalizability across tasks. Most Graph Neural Networks exhibit poor performance on digraphs due to the neglect of modeling neighborhoods and pres…