WebXiang Wang (National University of Singapore) Title: Graph Neural Networks for Recommendation Abstract: Graph Neural Networks (GNNs) have achieved remarkable success in many domains and shown great potentials in personalized recommendation. In this talk, I will give a brief introduction on why GNNs are suitable for recommendation, … WebJan 1, 2024 · Recent neural approaches for news recommendation mostly focus on encoding the text feature of articles with attention mechanism [37,39,[44][45][46]61] when modeling the user interest while paying ...
Deep multi-graph neural networks with attention fusion for recommendation
WebInteraction graph neural network for news recommendation. In Proceedings of the International Conference on Web Information Systems Engineering. Springer, 599 – 614. Google Scholar [37] Qiu Ruihong, Huang Zi, Li Jingjing, and Yin Hongzhi. 2024. Exploiting cross-session information for session-based recommendation with graph neural … WebOct 30, 2024 · In this paper, we propose to build a heterogeneous graph to explicitly model the interactions among users, news and latent topics. The incorporated topic information would help indicate a user's interest and alleviate the sparsity of user-item interactions. Then we take advantage of graph neural networks to learn user and news representations ... granite lakes trail washington
SunQingYun1996/Graph-Reinforcement-Learning-Papers - Github
WebApr 14, 2024 · Download Citation A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media User-generated content is daily produced in social media, as ... WebOct 30, 2024 · To address the above issues, in this paper, we propose a novel Graph Neural News Recommendation model (GNewsRec) with long-term and short-term user interest modeling.We first construct a heterogeneous user-news-topic graph as shown in Figure 2 to explicitly model the interactions among users, news and topics with complete … WebApr 14, 2024 · Thereby, we propose a new framework, dubbed Graph Neural Networks with Global Noise Filtering for Session-based Recommendation (GNN-GNF), aiming to filter noisy data and exploit items-transition ... granite lakes trail wa