13 citations · 18 across the 5 of their papers we have counts for
5 papers
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding
Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang +1
The problem of representing nodes in a signed network as low-dimensional vectors, known as signed network embedding (SNE), has garnered considerable attention in recent years. Whil…
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
Myung-Hwan Jang, Yunyong Ko, Hyuck-Moo Gwon +3
Sparse generalized matrix-matrix multiplication (SpGEMM) is a fundamental operation for real-world network analysis. With the increasing size of real-world networks, the single-mac…
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
Yunyong Ko, Seongeun Ryu, Soeun Han +6
The political stance prediction for news articles has been widely studied to mitigate the echo chamber effect -- people fall into their thoughts and reinforce their pre-existing be…
Phishing URL Detection: A Network-based Approach Robust to Evasion
Taeri Kim, Noseong Park, Jiwon Hong +1
Many cyberattacks start with disseminating phishing URLs. When clicking these phishing URLs, the victim's private information is leaked to the attacker. There have been proposed se…
Linear, or Non-Linear, That is the Question!
Taeyong Kong, Taeri Kim, Jinsung Jeon +4
There were fierce debates on whether the non-linear embedding propagation of GCNs is appropriate to GCN-based recommender systems. It was recently found that the linear embedding p…