Search Results for author:
Found 3 papers, 1 papers with code
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
In this paper, we propose a FLexible And Generalizable RL framework for VNE, named FlagVNE.
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
Graph Convolutional Networks (GCNs) have become pivotal in recommendation systems for learning user and item embeddings by leveraging the user-item interaction graph's node information and topology.
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
Time-Series Forecasting based on Cumulative Data (TSFCD) is a crucial problem in decision-making across various industrial scenarios.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
