9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 9 cited
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Yoonhyuk Choi, Jiho Choi, Taewook Ko +1
Graph Neural Networks (GNNs) have proven to be powerful in many graph-based applications. However, they fail to generalize well under heterophilic setups, where neighbor nodes have…
cs.LG2023★ 1 cited
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Graph contrastive learning has become a powerful technique for several graph mining tasks. It learns discriminative representation from different perspectives of augmented graphs.…
cs.NI2018
Towards Efficient Dynamic Virtual Network Embedding Strategy for Cloud IoT Networks
Duc-Lam Nguyen, HyungHo Byun, Naeon Kim +1
Network Virtualization is one of the most promising technologies for future networking and considered as a critical IT resource that connects distributed, virtualized Cloud Computi…