All Stories

  1. FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation
  2. Graph-Based Intrusion Detection with Explainable Edge Classification Learning
  3. Spectral Edge Encoding - SEE: Does Structural Information Really Enhance Graph Transformer Performance?
  4. RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention
  5. WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation?
  6. SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation System
  7. PacECG-Net: A Multi-modal Approach Integrating LLMs and ECG for LVSD Classification in Pacemaker Patients
  8. Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation
  9. Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models
  10. Elevating CTR Prediction: Field Interaction, Global Context Integration, and High-Order Representations
  11. AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models
  12. How Important is Periodic Model update in Recommender System?
  13. Recommendation method of smart TV programs reflecting content consumption concentration calculation