Naganand Yadati

NHP: Neural Hypergraph Link Prediction

2020

Link prediction insimple graphs is a fundamental problem in which new links between vertices are predicted based on the observed structure of the graph. However, in many real-world applications, there is a need to model …

A Convex Formulation for Graph Convolutional Training: Two Layer Case

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Graph convolutional networks (GCNs) are popular neural network models for relational graph data and have inspired de facto models for learning on relational datasets with high-dimensional vertex features. GCNs have also been successfully applied for …