116 citations · 116 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Dongkwan Kim, Jiho Jin, Jaimeen Ahn +1
Subgraphs are rich substructures in graphs, and their nodes and edges can be partially observed in real-world tasks. Under partial observation, existing node- or subgraph-level mes…
cs.LG2022★ 116 cited
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim, Alice Oh
Attention mechanism in graph neural networks is designed to assign larger weights to important neighbor nodes for better representation. However, what graph attention learns is not…
cs.CY2018
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks
Jooyeon Kim, Dongkwan Kim, Alice Oh
An overwhelming number of true and false news stories are posted and shared in social networks, and users diffuse the stories based on multiple factors. Diffusion of news stories f…