All Stories

  1. Accelerating Diffusion Models via Parallel Denoising
  2. Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
  3. Graph Structure Learning for Robust Recommendation
  4. HEDMGame: Fragmentation-Aware Mitigation of Heterogeneous Edge DoS Attacks
  5. Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation
  6. Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
  7. Intent Representation Learning with Large Language Model for Recommendation
  8. Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
  9. MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
  10. LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task offloading in Connected Autonomous Vehicles
  11. Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems
  12. Denoising Heterogeneous Graph Pre-training Framework for Recommendation
  13. AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction
  14. SimCEN: Simple Contrast-enhanced Network for CTR Prediction
  15. FaaSConf: QoS-aware Hybrid Resources Configuration for Serverless Workflows
  16. Causal Discovery Using Weight-Based Conditional Independence Test
  17. CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction
  18. Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  19. Heterogeneous Adaptive Preference Learning for Recommendation
  20. Local community detection in multiple private networks
  21. Local Overlapping Spatial-aware Community Detection
  22. EFTuner: A Bi-Objective Configuration Parameter Auto-Tuning Method Towards Energy-Efficient Big Data Processing
  23. Neighbor Library-Aware Graph Neural Network for Third Party Library Recommendation
  24. Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder
  25. PSL: An Algorithm for Partial Bayesian Network Structure Learning
  26. DeepCAT: A Cost-Efficient Online Configuration Auto-Tuning Approach for Big Data Frameworks
  27. An LSH-based Offloading Method for IoMT Services in Integrated Cloud-Edge Environment
  28. A time-aware dynamic service quality prediction approach for services
  29. Enhanced Adaptive Cloudlet Placement Approach for Mobile Application on Spark