9 citations · 18 across the 8 of their papers we have counts for
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cs.LG2025★ 5 cited
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
Heesoo Jung, Hogun Park
Self-supervised learning (SSL) in graphs has garnered significant attention, particularly in employing Graph Neural Networks (GNNs) with pretext tasks initially designed for other…
cs.LG2025★ 4 cited
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
Jongwon Park, Heesoo Jung, Hogun Park
Recent Self-Supervised Learning (SSL) methods encapsulating relational information via masking in Graph Neural Networks (GNNs) have shown promising performance. However, most exist…
cs.SD2025
AudioGenX: Explainability on Text-to-Audio Generative Models
Hyunju Kang, Geonhee Han, Yoonjae Jeong +1
Text-to-audio generation models (TAG) have achieved significant advances in generating audio conditioned on text descriptions. However, a critical challenge lies in the lack of tra…