Jeongwhan Choi

Venues

Frequent coauthors

Papers

1. Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
   AAAI 2026 · Jeongwhan Choi
2. Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
   IJCAI 2025 ·

   Hyowon Wi

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3. PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks
   ICLR 2025 ·

   Youn-Yeol Yu

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4. SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
   WSDM 2025 ·

   Chaejeong Lee

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5. TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
   NeurIPS 2025 ·

   Yehjin Shin

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6. An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
   AAAI 2024 ·

   Yehjin Shin

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7. Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP
   CIKM 2024 ·

   Seonkyu Lim

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8. Graph Convolutions Enrich the Self-Attention in Transformers!
   NeurIPS 2024 · Jeongwhan Choi
9. Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
   ICLR 2024 ·

   Youn-Yeol Yu

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10. PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
    ICML 2024 · Jeongwhan Choi
11. Polynomial-based Self-Attention for Table Representation Learning
    ICML 2024 ·

    Jayoung Kim

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12. SVD-AE: Simple Autoencoders for Collaborative Filtering
    IJCAI 2024 ·

    Seoyoung Hong

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