Won-Yong Shin

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology

2021 · arXiv (Cornell University)

Since the structure of complex networks is often unknown, we may identify the most influential seed nodes by exploring only a part of the underlying network, given a small budget for node queries. We propose …

Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs

2023 · arXiv (Cornell University)

Recent studies attempted to utilize multilayer perceptrons (MLPs) to solve semisupervised node classification on graphs, by training a student MLP by knowledge distillation from a teacher graph neural network (GNN). While previous studies have focused …

<i>SiReN</i>: Sign-Aware Recommendation Using Graph Neural Networks

2022 · IEEE Transactions on Neural Networks and Learning Systems

In recent years, many recommender systems using network embedding (NE) such as graph neural networks (GNNs) have been extensively studied in the sense of improving recommendation accuracy. However, such attempts have focused mostly on utilizing …