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HeteGraph: graph learning in recommender systems via graph convolutional networks.

, , , , , , , and . Neural Comput. Appl., 35 (18): 13047-13063 (June 2023)

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Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach., , , and . IJCNN, page 1-7. IEEE, (2020)Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach., , , , and . WISE (2), volume 13081 of Lecture Notes in Computer Science, page 480-488. Springer, (2021)A system for effectively predicting flight delays based on IoT data., , , , and . Computing, 102 (9): 2025-2048 (2020)A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis., , , , and . IJCNN, page 1-7. IEEE, (2021)SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things., , , and . CAiSE, volume 12127 of Lecture Notes in Computer Science, page 101-116. Springer, (2020)HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems., , , , , , and . IJCNN, page 1-8. IEEE, (2020)A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects., , , , and . ADMA, volume 13088 of Lecture Notes in Computer Science, page 83-94. Springer, (2021)Trust ManagementTrust Management for Software-Defined Heterogeneous Vehicular Ad Hoc NetworksVehicular Ad hoc Networks., , , , and . Security, Privacy and Trust in the IoT Environment, Springer, (2019)Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech., , , and . IJCNN, page 1-7. IEEE, (2020)HeteGraph: graph learning in recommender systems via graph convolutional networks., , , , , , , and . Neural Comput. Appl., 35 (18): 13047-13063 (June 2023)