Работы, цитирующие эту работу

Работ: 3

Работа: A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

1. Increasing the Effectiveness of Personalized Recommender Systems Based on the Integrated GNN-RL Model

   Abdurakhmon Sharifbaev, H. N. Zainidinov, I. V. Kovalev +2

   СтатьяRecommender Systems and TechniquesJournal of Machinery Manufacture and Reliability2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.001867

2. Graph neural networks for recommendation systems: A survey and future directions

   R. Keerthika, Abduvali Sottarov, Anant Deogaonkar +3

   СтатьяAdvanced Graph Neural Networks2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018608

3. Neural network properties of hydrophilic polymers as a key for development of the general theory of evolution

   Sherniyaz B. Kabdushev, Oleg Gabrielyan, Eldar Kopishev +1

   Обзорная статьяOrigins and Evolution of LifeRoyal Society Open Science2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.review-article.000124