Chanyoung Park

papers

119

total citations

papers (11)

Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation

ECCV 2024arXiv

citations

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

NEURIPS 2023arXiv

citations

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning

AAAI 2025arXiv

citations

Unsupervised Episode Generation for Graph Meta-learning

ICML 2024arXiv

citations

3D Interaction Geometric Pre-training for Molecular Relational Learning

NEURIPS 2025arXiv

citations

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

ICML 2025arXiv

citations

Training Robust Graph Neural Networks by Modeling Noise Dependencies

NEURIPS 2025arXiv

citations

Chanyoung Park

papers (11)

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation

Interpretable Prototype-based Graph Information Bottleneck

Sterling: Synergistic Representation Learning on Bipartite Graphs

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning

Unsupervised Episode Generation for Graph Meta-learning

3D Interaction Geometric Pre-training for Molecular Relational Learning

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

Training Robust Graph Neural Networks by Modeling Noise Dependencies

papers (11)

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation

Interpretable Prototype-based Graph Information Bottleneck

Sterling: Synergistic Representation Learning on Bipartite Graphs

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning

Unsupervised Episode Generation for Graph Meta-learning

3D Interaction Geometric Pre-training for Molecular Relational Learning

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

Training Robust Graph Neural Networks by Modeling Noise Dependencies