All Stories

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