All Stories

  1. DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes
  2. Generative Archetype-Grounded Item Representations for Sequential Recommendation
  3. Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
  4. UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge
  5. CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization
  6. TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding
  7. Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
  8. Machine learning model improves job mobility predictions by studying market connections
  9. EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
  10. Geometric View of Soft Decorrelation in Self-Supervised Learning
  11. Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation
  12. WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
  13. Fast Top-N search with graph hashing
  14. Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
  15. Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation