All Stories

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