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Jaesung Lim

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#graph neural networks Book Open access Nov 2026

Context-Aware Subgraph Explanations for Multi-Task GNNs

The proposed CAMIE, a Context-Aware Motif Importance Explainer designed for multi-task molecular classification, leverages a Knowledge Distillation-inspired pseudo target to effectively distill assay-specific motif-removal responses, transferring explanatory patterns across tasks without requiring ground-truth labels.

Yejin Yoon, Jaesung Lim, Jinhee Choi et al. · 0 citations
Conference Open access Sep 2026

Generating High-Diversity Synthetic Tabular Data via Less-Constrained Prior

This work empirically demonstrate that the model, which relies on a single prior distribution, significantly improves the quality of the synthetic data, especially in terms of diversity.

Sanghun Park, Jaesung Lim, Jong-June Jeon et al. · 0 citations

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