All Stories

  1. Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width
  2. Highly-efficient Minimization of Network Connectivity in Large-scale Graphs
  3. Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning
  4. Accelerating the Decentralized Federated Learning via Manipulating Edges
  5. A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
  6. Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
  7. Dismantling complex networks based on the principal eigenvalue of the adjacency matrix
  8. RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems
  9. Solving Billion-Scale Knapsack Problems
  10. Sampling-based box-covering algorithm for renormalization of networks
  11. Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods
  12. Enhancing Countries’ Fitness with Recommender Systems on the International Trade Network
  13. A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network
  14. Connecting Patterns Inspire Link Prediction in Complex Networks