Federated social recommendation with graph neural network
Recommender systems have become prosperous nowadays, designed to predict users'
potential interests in items by learning embeddings. Recent developments of the Graph …
potential interests in items by learning embeddings. Recent developments of the Graph …
Revisiting graph based social recommendation: A distillation enhanced social graph network
Y Tao, Y Li, S Zhang, Z Hou, Z Wu - … of the ACM Web Conference 2022, 2022 - dl.acm.org
Social recommendation, which leverages social connections to construct Recommender
Systems (RS), plays an important role in alleviating information overload. Recently, Graph …
Systems (RS), plays an important role in alleviating information overload. Recently, Graph …
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 …
GDSRec: Graph-based decentralized collaborative filtering for social recommendation
Generating recommendations based on user-item interactions and user-user social relations
is a common use case in web-based systems. These connections can be naturally …
is a common use case in web-based systems. These connections can be naturally …
Graph neural networks for social recommendation
In recent years, Graph Neural Networks (GNNs), which can naturally integrate node
information and topological structure, have been demonstrated to be powerful in learning on …
information and topological structure, have been demonstrated to be powerful in learning on …
EAGCN: An efficient adaptive graph convolutional network for item recommendation in social Internet of Things
In the era of Internet of Things (IoT), intelligent recommendation is playing an important role
in our daily life. How to provide personalized information to users is the core concern of …
in our daily life. How to provide personalized information to users is the core concern of …
Enhancing social recommendation with adversarial graph convolutional networks
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …
incorporating social information when there is little user-item interaction data. However …
Consisrec: Enhancing gnn for social recommendation via consistent neighbor aggregation
Social recommendation aims to fuse social links with user-item interactions to alleviate the
cold-start problem for rating prediction. Recent developments of Graph Neural Networks …
cold-start problem for rating prediction. Recent developments of Graph Neural Networks …
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations
Recommender systems in social networks are widely used for connecting users to their
desired items from a vast catalog of available items. Learning the user's preferences from all …
desired items from a vast catalog of available items. Learning the user's preferences from all …
SocialLGN: Light graph convolution network for social recommendation
Abstract Graph Neural Networks have been applied in recommender systems to learn the
representation of users and items from a user-item graph. In the state-of-the-art, there are …
representation of users and items from a user-item graph. In the state-of-the-art, there are …