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T2

Data Mining and Knowledge Discovery

데이터 마이닝 · 저널 · 논문 10편 · 연구실 4곳

연도별 논문

전체 · 논문 10편

20253편

  • Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion Models

    Jihoon Ko, Seojeong Kim, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, and Noseong Park

  • Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion Models

    Jihoon Ko, Seojeong Kim, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, Noseong Park

  • Large Language Models are Zero-Shot Point-of-Interest Recommenders

    Kim, J., Seo, Y., Kim, Y., Kang, J., Shin, J., Trirat, P., and Lee, J.

20241편

  • Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection

    Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung

20236편

  • Datasets, Tasks, and Training Methods for Large-Scale Hypergraph Learning

    Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin

  • Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications

    Fanchen Bu, Geon Lee, Kijung Shin

  • Improving the Core Resilience of Real-world Hypergraphs

    Manh Tuan Do, Kijung Shin

  • Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm

    Fanchen Bu, Shinhwan Kang, Kijung Shin

  • Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators

    Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin

  • Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators

    Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin