2 papers
cs.LG2026
SLeDGe: Semi-Supervised Learning on Data Streams with Graph Structure Learning
Heechan Moon, Kijung Shin
Semi-supervised learning (SSL) on data streams is challenging due to the continuous evolution of high-volume data and the scarcity of labels. Existing methods are limited in levera…
cs.LG2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Jongha Lee, Taehyung Kwon, Heechan Moon +1
The problem of predicting node properties (e.g., node classes) in graphs has received significant attention due to its broad range of applications. Graphs from real-world datasets…