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A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions., , , , , , , , , and 1 other author(s). Trans. Recomm. Syst., 1 (1): 1-51 (March 2023)Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data., , , and . IEEE Access, (2019)Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation., , , , and . SIGIR, page 1997-2002. ACM, (2022)A minimal coalition logic., and . CoRR, (2024)Inverse Learning with Extremely Sparse Feedback for Recommendation., , , , , , , , , and 1 other author(s). WSDM, page 396-404. ACM, (2024)Inverse Learning with Extremely Sparse Feedback for Recommendation., , , , , , , , , and 1 other author(s). CoRR, (2023)Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions., , , , , , , , , and 1 other author(s). CoRR, (2021)Effect analysis of neural network robot system in music relaxation training to alleviate adverse reactions of chemotherapy in patients with breast cancer., , , and . Frontiers Neurorobotics, (June 2023)Contour Extraction Based on Human Visual System., and . CCCV (2), volume 547 of Communications in Computer and Information Science, page 394-405. Springer, (2015)Progressive Feature Interaction Search for Deep Sparse Network., , , , and . NeurIPS, page 392-403. (2021)