All Stories

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