Author

Yongmin Yoo

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Preprint Aug 2026

Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation

DARTopic is a domain-agnostic framework that constructs token-level semantic graphs from frozen PLM embeddings and jointly trains a GNN encoder with topic inference, demonstrating robustness to PLM choice and favorable runtime efficiency over fine-tuning based alternatives.

Seung-Won Seo, W. Cho, Yongmin Yoo · 0 citations

#natural language process... May 2026

Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning

The Patent Heterogeneous Attention-Guided Graph Encoder (PHAGE), which constructs a typed claim graph that distinguishes legal citations from technical relations, and fine-tunes the encoder using a dual-granularity contrastive objective that combines inter-patent taxonomy with intra-patent topology.

Yongmin Yoo, Qiongkai Xu, Zhangkai Wu et al. · arXiv.org · 0 citations