PPaperPicks

Sang-Wook Kim

35 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Accelerating Storage-based Training for Graph Neural Networks
  2. Leveraging Retrieval-Augmented Language Models for Accurate Item/Feature Selection in Conversational Recommender Systems
  3. Retracing and Restoring: Chronological Context Preservation for Effective Dynamic Recommendation
  4. SCOUT: Structure-Aware Aspect and Anchor-Count Selection for Node Attribute Augmentation via Positional Information
  5. An Efficient PIM-Based Graph Engine on a Single Machine
  6. CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
  7. CATER: A Cluster-Based Alternative-Term Recommendation Framework for Large-Scale Web Search at NAVER
  8. COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
  9. CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
  10. Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
  11. ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
  12. Exploring Search Volumes of Terms in Web Portals for Accurate Event-Aware Traffic Prediction
  13. HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation
  14. HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction
  15. Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
  16. Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
  17. MELON: Learning Multi-Aspect Modality Preferences for Accurate Multimedia Recommendation
  18. Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization
  19. Rating-Aware Homogeneous Review Graphs and User Likes/Dislikes Differentiation for Effective Recommendations
  20. RealGraphOF: A High-Performance Graph Engine for Very Large Graph Analysis
  21. SIGEM: A Simple yet Effective Similarity based Graph Embedding Method
  22. STARLINE: Contrastive Learning with Modality-Aware Graph Refinement for Effective Multimedia Recommendation
  23. Empowering Traffic Speed Prediction with Auxiliary Feature-Aided Dependency Learning
  24. HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
  25. Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not!
  26. Item-Ranking Promotion in Recommender Systems
  27. Leveraging Trustworthy Node Attributes for Effective Network Alignment
  28. Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss
  29. MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
  30. Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation
  31. PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks
  32. RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO
  33. RealGraphGPUWeb: A Convenient and Efficient GPU-Based Graph Analysis Platform on the Web
  34. Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
  35. VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation