Data Mining and Knowledge Discovery
데이터 마이닝 · 저널 · 논문 10편 · 연구실 4곳
연도별 논문
전체 · 논문 10편
20253편
- 박노성KAIST
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
- 신기정KAIST
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
- 이재길KAIST
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
- 신기정KAIST
Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection
Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung
20236편
- 신기정KAIST
Datasets, Tasks, and Training Methods for Large-Scale Hypergraph Learning
Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin
- 신기정KAIST
Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications
Fanchen Bu, Geon Lee, Kijung Shin
- 신기정KAIST
Improving the Core Resilience of Real-world Hypergraphs
Manh Tuan Do, Kijung Shin
- 신기정KAIST
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm
Fanchen Bu, Shinhwan Kang, Kijung Shin
- 유재민SNU
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
- 신기정KAIST
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin