PPaperPicks

Kijung Shin

53 papers at tracked venues · 36 at CORE A* · active 2024–2026

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Venues

ICDM ×7SIGKDD ×7WWW ×6AAAI ×5CIKM ×5ICML ×4NeurIPS ×4ICDE ×3SIGIR ×3ACL ×2CVPR ×1ECML-PKDD ×1EDBT ×1EMNLP ×1ICLR ×1RecSys ×1WSDM ×1

Frequent coauthors

Sunwoo Kim
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Geon Lee
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Kyungho Kim
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Fanchen Bu
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Taehyung Kwon
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Juyeon Kim
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Hyunjin Choo
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Minyoung Choe
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Langzhang Liang
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Jongha Lee
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Jeeho Shin
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Jaewan Chun
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Papers

  1. Effective Dataset Distillation for Spatio-Temporal Forecasting with BI-Dimensional Compression
    ICDE 2026 ·
    Taehyung Kwon
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  2. Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
    AAAI 2026 ·
    Sunwoo Kim
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  3. From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
    SIGIR 2026 ·
    Jeeho Shin
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  4. Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
    ACL 2026 ·
    Juyeon Kim
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  5. ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
    SIGIR 2026 ·
    Sunwoo Kim
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  6. Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation
    WWW 2026 ·
    Sunwoo Kim
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  7. Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
    ACL 2026 ·
    Kyungho Kim
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  8. ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents
    WWW 2026 ·
    Kyungho Kim
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  9. Sequential Data Augmentation for Generative Recommendation
    WSDM 2026 ·
    Geon Lee
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  10. 'Hello, World!': Making GNNs Talk with LLMs
    EMNLP 2025 ·
    Sunwoo Kim
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  11. A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
    CIKM 2025 ·
    Kyungho Kim
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  12. A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
    CIKM 2025 ·
    Sunwoo Kim
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  13. Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes
    ICDM 2025 ·
    Jaewan Chun
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  14. Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization
    WWW 2025 ·
    Yeongho Kim
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  15. DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
    AAAI 2025 ·
    Junghun Lee
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  16. Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms
    ICDM 2025 ·
    Fanchen Bu
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  17. HyperSearch: Prediction of New Hyperedges Through Unconstrained yet Efficient Search
    ICDM 2025 ·
    Hyunjin Choo
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  18. Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
    ICDM 2025 ·
    Fanchen Bu
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  19. KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
    SIGIR 2025 ·
    Juyeon Kim
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  20. Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs
    WWW 2025 ·
    Minyoung Choe
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  21. Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
    NeurIPS 2025 ·
    Sunwoo Kim
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  22. MARIOH: Multiplicity-Aware Hypergraph Reconstruction
    ICDE 2025 ·
    Kyuhan Lee
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  23. Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
    ICML 2025 ·
    Langzhang Liang
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  24. On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
    SIGKDD 2025 ·
    Hyeonsoo Jo
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  25. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
    CIKM 2025 ·
    Meeyoung Cha
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  26. RASP: Robust Mining of Frequent Temporal Sequential Patterns under Temporal Variations
    EDBT 2025 ·
    Hyunjin Choo
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  27. RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
    NeurIPS 2025 ·
    Dongwon Choi
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  28. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
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  29. Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
    ICDE 2025 ·
    Jongha Lee
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  30. SkySearch: Satellite Video Search at Scale
    SIGKDD 2025 ·
    Minyoung Choe
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  31. TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
    AAAI 2025 ·
    Geon Lee
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  32. TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
    NeurIPS 2025 ·
    Yushan Jiang
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  33. A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
    SIGKDD 2024 ·
    Sunwoo Kim
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  34. Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors
    SIGKDD 2024 ·
    Taehyung Kwon
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  35. ELiCiT: Effective and Lightweight Lossy Compression of Tensors
    ICDM 2024 ·
    Jihoon Ko
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  36. Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
    ICML 2024 ·
    Soo Yong Lee
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  37. FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer
    CVPR 2024 ·
    Dongyeong Hwang
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  38. Graphlets over Time: A New Lens for Temporal Network Analysis
    ECML-PKDD 2024 ·
    Deukyeol Yoon
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  39. HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
    ICLR 2024 ·
    Sunwoo Kim
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  40. Post-Training Embedding Enhancement for Long-Tail Recommendation
    CIKM 2024 ·
    Geon Lee
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  41. Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction
    ICDM 2024 ·
    Taehyung Yu
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  42. Resource2Box: Learning To Rank Resources in Distributed Search Using Box Embedding
    ICDM 2024 ·
    Ulugbek Ergashev
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  43. Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
    NeurIPS 2024 ·
    Sunwoo Kim
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  44. Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation
    RecSys 2024 ·
    Geon Lee
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  45. SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
    SIGKDD 2024 ·
    Jongha Lee
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  46. Self-Guided Robust Graph Structure Refinement
    WWW 2024 ·
    Yeonjun In
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  47. Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
    ICML 2024 ·
    Langzhang Liang
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  48. Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
    AAAI 2024 ·
    Dongjin Lee
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  49. Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
    ICML 2024 ·
    Fanchen Bu
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  50. Towards Better Utilization of Multiple Views for Bundle Recommendation
    CIKM 2024 ·
    Kyungho Kim
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  51. Unsupervised Alignment of Hypergraphs with Different Scales
    SIGKDD 2024 ·
    Manh Tuan Do
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  52. VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
    AAAI 2024 ·
    Taeri Kim
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  53. VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation
    WWW 2024 ·
    Geon Lee
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