Interest-Aware Contrastive-Learning-Based GCN for Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3226369
Abstract: Graph convolutional networks (GCNs) have shown great potential in recommender systems. GCN models contain multiple layers of graph convolutions to exploit signals from higher-order neighbors. In each graph convolution, the embedding of a user or… read more here.
Keywords: based gcn; interest aware; contrastive learning; aware contrastive ... See more keywords
The Research of Resource Allocation Method Based on GCN-LSTM in 5G Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3224213
Abstract: To achieve higher performance of allocation resources in the densely distributed scene of 5G networks, resources can be allocated considering the communication traffic of different areas. For this requirement, a new allocation algorithm based on… read more here.
Keywords: based gcn; gcn lstm; resource allocation; allocation ... See more keywords