Global context enhanced social recommendation with hierarchical graph neural networks
Social recommendation which aims to leverage social connections among users to enhance
the recommendation performance. With the revival of deep learning techniques, many efforts …
the recommendation performance. With the revival of deep learning techniques, many efforts …
Knowledge-aware coupled graph neural network for social recommendation
Social recommendation task aims to predict users' preferences over items with the
incorporation of social connections among users, so as to alleviate the sparse issue of …
incorporation of social connections among users, so as to alleviate the sparse issue of …
Graph attention networks for neural social recommendation
N Mu, D Zha, Y He, Z Tang - 2019 IEEE 31st international …, 2019 - ieeexplore.ieee.org
In recent years, social recommendation is a research hotspot because it contains social
network information which can effectively solve the problem of data sparsity and cold start …
network information which can effectively solve the problem of data sparsity and cold start …
Bilateral filtering graph convolutional network for multi-relational social recommendation in the power-law networks
In recent years, advances in Graph Convolutional Networks (GCNs) have given new insights
into the development of social recommendation. However, many existing GCN-based social …
into the development of social recommendation. However, many existing GCN-based social …
Dual side deep context-aware modulation for social recommendation
Social recommendation is effective in improving the recommendation performance by
leveraging social relations from online social networking platforms. Social relations among …
leveraging social relations from online social networking platforms. Social relations among …
Deep adaptive collaborative graph neural network for social recommendation
Most graph convolutional network (GCN)-based social recommendation frameworks fuse
social links with user-item interactions to enrich user representations, which alleviate the …
social links with user-item interactions to enrich user representations, which alleviate the …
Robust social recommendation based on contrastive learning and dual-stage graph neural network
GF Ma, XH Yang, H Long, Y Zhou, XL Xu - Neurocomputing, 2024 - Elsevier
GNN-based social recommendation aims to use social network information to improve
recommendation performance of traditional user–item interaction network (U–I network) …
recommendation performance of traditional user–item interaction network (U–I network) …
Self-supervised multi-channel hypergraph convolutional network for social recommendation
Social relations are often used to improve recommendation quality when user-item
interaction data is sparse in recommender systems. Most existing social recommendation …
interaction data is sparse in recommender systems. Most existing social recommendation …
Inhomogeneous social recommendation with hypergraph convolutional networks
Incorporating social relations into the recommendation system, ie social recommendation,
has been widely studied in academic and industrial communities. While many promising …
has been widely studied in academic and industrial communities. While many promising …
Exploiting structural and temporal influence for dynamic social-aware recommendation
Recent years have witnessed the rapid development of online social platforms, which
effectively support the business intelligence and provide services for massive users. Along …
effectively support the business intelligence and provide services for massive users. Along …